// igneum-worker-cuda: the one-click NVIDIA worker for igneum-miner --worker. 4 October 2026. // // Nothing to install but the NVIDIA driver. The pack's kernels (kernel.cu: cache fill and dataset build; // kernel_bound.cu: the header-bound hash) are compiled at run time by NVRTC, the toolkit's runtime compiler, which // ships next to this exe as nvrtc64_120_0.dll plus nvrtc-builtins64_128.dll (NVIDIA's redistributable, see // THIRD-PARTY.md). The GPU is driven through the driver API in nvcuda.dll, which every NVIDIA driver installs. Both // libraries are loaded with LoadLibrary/GetProcAddress (cuda_api.h), so no import library is linked and the exe is // cross-compiled on the Mac with mingw (build-windows.sh). Plain C++17 otherwise. // // The source handed to NVRTC is the pack's own text: kernel.cu and kernel_bound.cu up to the host-side launch // wrappers (which nvcc compiles for the host and NVRTC has no use for), with the pack's program.h and memhard.h as // named headers, byte for byte. Two stub headers stand in for and , which nvcc takes from // the toolkit. emu/test.sh checks the equality on the Mac. The memory-hard core is therefore the same text host.cu // compiles, and the miner's CPU re-check of every found nonce covers the rest. // // Worker protocol (the same lines as proto-cuda/host.cu --serve and proto-opencl/host.c --serve): // stdin: job // prepare compile that pack in the background, build its cache // and dataset, self-test it; a job on it then switches // quit // stdout: ready cuda pack dataset-log2 N batch B regs R prepare 1 path nvrtc ... // found // done // error // need before the mismatch error: the pair this worker lacks (the miner prepares it) // prepared ... | prepare-failed // info ... // The first pack comes from --pack (igneum-miner export-pack writes it; the launcher passes it). Every pack is // self-tested before it serves a job: cache head, last line and FNV-1a 64, dataset head, last word and 64 samples, // and the three vector warps of vectors.h through the bound kernel with the pack's own seed words. A pack that fails // is refused. // // Variant racing (4 October 2026, evening; docs/design/miner-tuning.md): every pack's bound kernel is compiled in // several variants (loop unrolling, the dataset load path: plain, __ldg, __ldcg, __ldcs; a register budget through // -maxrregcount or __launch_bounds__; threads per block), each self-tested against the pack's vectors (bit-exact or // discarded) and run for about two seconds on the card; the fastest serves the hour. A race runs inside the prepare // (the hourly compile-ahead, one lead before the boundary) and never delays the swap: it has a time budget, "base" // (the pack's text as shipped) is always the first entry, and a prepare that runs out of budget keeps the best so far. // While a variant is timed the job loop pauses (one mutex): the numbers are exclusive, mining resumes between // variants. One line per race: `race device ... variants N a=MH/s b=MH/s ... winner // gain ...`. A tuning file (--tuning, or IGNEUM_TUNING_FILE from the app) may pin a variant for this card // model or order the candidates; the app's over-the-air manifest carries it (fleet learning). Under IGNEUM_EMU the // race is off (the stand-in checks that the handed-over text equals the pack's). // // Usage: igneum-worker-cuda --serve --pack [--device D] [--batch-log2 22] [--block-warps 1] [--arch sm_120|auto] // [--race on|off|] [--race-bench-ms 2000] [--race-budget-s 120] [--race-rounds 1] // [--variant ] [--tuning ] // igneum-worker-cuda --check --pack [--device D] compile, build, self-test, print timings, exit 0/1 // igneum-worker-cuda --race --pack [--device D] [--race-rounds 3] the race alone: one line per variant, exit 0/1 #include #include #include #include #include #include #include #include #include #include #include #include #include #include "cuda_api.h" #include "packfile.h" #ifdef _WIN32 #define WIN32_LEAN_AND_MEAN #include #else #include #include #endif static const char* WORKER_VERSION = "1.0 (4 October 2026)"; // --------------------------------------------------------------------------------------------- // Helpers static double wallMs() { using namespace std::chrono; return duration(steady_clock::now().time_since_epoch()).count(); } static void emit(const std::string& s) { std::fputs(s.c_str(), stdout); std::fputc('\n', stdout); std::fflush(stdout); } static void info(const std::string& s) { emit("info " + s); } static std::string fmt(const char* f, ...) { char buf[2048]; va_list ap; va_start(ap, f); vsnprintf(buf, sizeof(buf), f, ap); va_end(ap); return buf; } static std::string readText(const std::string& path, bool& ok) { size_t n = 0; char* b = pf_read_file(path.c_str(), &n); if (!b) { ok = false; return ""; } std::string s(b, n); free(b); ok = true; return s; } static std::string exeDir() { #ifdef _WIN32 char buf[MAX_PATH]; DWORD n = GetModuleFileNameA(nullptr, buf, MAX_PATH); std::string p(buf, n); size_t i = p.find_last_of("\\/"); return i == std::string::npos ? "." : p.substr(0, i); #else return "."; #endif } // --------------------------------------------------------------------------------------------- // Loading the two libraries static void* libOpen(const std::string& name) { #ifdef _WIN32 return (void*)LoadLibraryA(name.c_str()); #else return dlopen(name.c_str(), RTLD_NOW); #endif } static void* libSym(void* lib, const char* name) { #ifdef _WIN32 return (void*)GetProcAddress((HMODULE)lib, name); #else return dlsym(lib, name); #endif } #define LOAD_SYM(table, field, name) do { table.field = (decltype(table.field))libSym(lib, name); if (!table.field) { missing += std::string(missing.empty() ? "" : ", ") + name; } } while (0) static bool loadDriver(Drv& d, std::string& err, std::string& libName) { #ifdef IGNEUM_EMU emu_fill_driver(d); libName = "emulation (host threads, no GPU)"; (void)err; return true; #else #ifdef _WIN32 const char* names[] = { "nvcuda.dll" }; #else const char* names[] = { "libcuda.so.1", "libcuda.so" }; #endif void* lib = nullptr; for (const char* n : names) { lib = libOpen(n); if (lib) { libName = n; break; } } if (!lib) { err = "the CUDA driver library (nvcuda.dll) is not installed: install or update the NVIDIA driver"; return false; } std::string missing; LOAD_SYM(d, init, "cuInit"); LOAD_SYM(d, driverGetVersion, "cuDriverGetVersion"); LOAD_SYM(d, deviceGetCount, "cuDeviceGetCount"); LOAD_SYM(d, deviceGet, "cuDeviceGet"); LOAD_SYM(d, deviceGetName, "cuDeviceGetName"); LOAD_SYM(d, deviceGetAttribute, "cuDeviceGetAttribute"); LOAD_SYM(d, deviceTotalMem, "cuDeviceTotalMem_v2"); LOAD_SYM(d, primaryCtxSetFlags, "cuDevicePrimaryCtxSetFlags_v2"); LOAD_SYM(d, primaryCtxRetain, "cuDevicePrimaryCtxRetain"); LOAD_SYM(d, primaryCtxRelease, "cuDevicePrimaryCtxRelease_v2"); LOAD_SYM(d, ctxSetCurrent, "cuCtxSetCurrent"); LOAD_SYM(d, ctxSynchronize, "cuCtxSynchronize"); LOAD_SYM(d, memGetInfo, "cuMemGetInfo_v2"); LOAD_SYM(d, memAlloc, "cuMemAlloc_v2"); LOAD_SYM(d, memFree, "cuMemFree_v2"); LOAD_SYM(d, memcpyDtoH, "cuMemcpyDtoH_v2"); LOAD_SYM(d, memcpyHtoD, "cuMemcpyHtoD_v2"); LOAD_SYM(d, moduleLoadData, "cuModuleLoadData"); LOAD_SYM(d, moduleUnload, "cuModuleUnload"); LOAD_SYM(d, moduleGetFunction, "cuModuleGetFunction"); LOAD_SYM(d, launchKernel, "cuLaunchKernel"); LOAD_SYM(d, streamCreate, "cuStreamCreate"); LOAD_SYM(d, streamSynchronize, "cuStreamSynchronize"); LOAD_SYM(d, streamDestroy, "cuStreamDestroy_v2"); LOAD_SYM(d, funcGetAttribute, "cuFuncGetAttribute"); LOAD_SYM(d, occupancy, "cuOccupancyMaxActiveBlocksPerMultiprocessor"); LOAD_SYM(d, getErrorString, "cuGetErrorString"); LOAD_SYM(d, getErrorName, "cuGetErrorName"); if (!missing.empty()) { err = "the driver library lacks " + missing + " (driver too old; CUDA 11 or newer is needed)"; return false; } return true; #endif } #ifdef _WIN32 // nvrtc64_0_0.dll next to the exe (any major), then a toolkit on PATH. IGNEUM_NVRTC_DLL overrides. static std::vector nvrtcCandidates() { std::vector v; if (const char* o = std::getenv("IGNEUM_NVRTC_DLL")) v.push_back(o); std::string dir = exeDir(); WIN32_FIND_DATAA fd; HANDLE h = FindFirstFileA((dir + "\\nvrtc64_*_0.dll").c_str(), &fd); if (h != INVALID_HANDLE_VALUE) { do { std::string n = fd.cFileName; if (n.find(".alt.") == std::string::npos) v.push_back(dir + "\\" + n); } while (FindNextFileA(h, &fd)); FindClose(h); } v.push_back("nvrtc64_120_0.dll"); v.push_back("nvrtc64_130_0.dll"); if (const char* cp = std::getenv("CUDA_PATH")) { v.push_back(std::string(cp) + "\\bin\\nvrtc64_120_0.dll"); v.push_back(std::string(cp) + "\\bin\\nvrtc64_130_0.dll"); } return v; } #endif static bool loadNvrtc(Rtc& r, std::string& err, std::string& libName) { #ifdef IGNEUM_EMU emu_fill_nvrtc(r); libName = "emulation (source recorded and checked, nothing compiled)"; (void)err; return true; #else void* lib = nullptr; #ifdef _WIN32 for (const std::string& n : nvrtcCandidates()) { lib = libOpen(n); if (lib) { libName = n; break; } } if (!lib) { err = "nvrtc64_120_0.dll (and nvrtc-builtins64_128.dll) must sit next to " + exeDir() + "\\igneum-worker-cuda.exe; they are in the package"; return false; } #else const char* names[] = { "libnvrtc.so.12", "libnvrtc.so" }; for (const char* n : names) { lib = libOpen(n); if (lib) { libName = n; break; } } if (!lib) { err = "libnvrtc.so.12 not found"; return false; } #endif std::string missing; LOAD_SYM(r, version, "nvrtcVersion"); LOAD_SYM(r, createProgram, "nvrtcCreateProgram"); LOAD_SYM(r, destroyProgram, "nvrtcDestroyProgram"); LOAD_SYM(r, compileProgram, "nvrtcCompileProgram"); LOAD_SYM(r, getProgramLogSize, "nvrtcGetProgramLogSize"); LOAD_SYM(r, getProgramLog, "nvrtcGetProgramLog"); LOAD_SYM(r, getPTXSize, "nvrtcGetPTXSize"); LOAD_SYM(r, getPTX, "nvrtcGetPTX"); LOAD_SYM(r, getCUBINSize, "nvrtcGetCUBINSize"); LOAD_SYM(r, getCUBIN, "nvrtcGetCUBIN"); LOAD_SYM(r, addNameExpression, "nvrtcAddNameExpression"); LOAD_SYM(r, getLoweredName, "nvrtcGetLoweredName"); LOAD_SYM(r, getErrorString, "nvrtcGetErrorString"); if (!missing.empty()) { err = "the NVRTC library lacks " + missing; return false; } r.getNumSupportedArchs = (decltype(r.getNumSupportedArchs))libSym(lib, "nvrtcGetNumSupportedArchs"); r.getSupportedArchs = (decltype(r.getSupportedArchs))libSym(lib, "nvrtcGetSupportedArchs"); return true; #endif } // --------------------------------------------------------------------------------------------- // The device context struct Ctx { Drv drv; Rtc rtc; // read-width experiment, variant 5 (5 October 2026): persistent warps and their scratch; --warps caps the launch int warps = 0; // 0 = the resident capacity from the occupancy query, rounded down to a power of two uint32_t salt = 1; // the running per-unit tag salt (+= units per launch) int batches = 5; // --bench: timed dispatches CUdevice dev = 0; CUcontext ctx = nullptr; std::string name; int major = 0, minor = 0, sms = 0, driverVersion = 0, rtcMajor = 0, rtcMinor = 0; std::vector rtcArchs; // what NVRTC can target (empty when the query is unavailable) std::string archOpt; // "sm_120" or "compute_120": what the packs are compiled for bool ptx = false; // true when archOpt is compute_XY (PTX, driver JIT) std::string why; // how archOpt was chosen int blockWarps = 1; // variant racing (see the header): which variants, how long each is timed, the budget of a race, rounds std::string race = "on"; // on | off | comma list of variant names int raceBenchMs = 2000, raceBudgetS = 120, raceRounds = 1, batchLog2 = 22; std::string pinned; // --variant: use this variant, no race std::string tuning; // the tuning file's text ("" = none) std::string err(CUresult r) { const char* s = nullptr; if (drv.getErrorString) drv.getErrorString(r, &s); return s ? s : "CUDA driver error"; } }; #define DRV_CHECK(c, call, what) do { CUresult r_ = (call); if (r_ != CUDA_SUCCESS) { err = std::string(what) + ": " + (c).err(r_); return false; } } while (0) static bool openDevice(Ctx& c, int device, const std::string& archArg, std::string& err) { DRV_CHECK(c, c.drv.init(0), "cuInit"); int count = 0; DRV_CHECK(c, c.drv.deviceGetCount(&count), "cuDeviceGetCount"); if (count == 0) { err = "no CUDA device"; return false; } if (device < 0 || device >= count) { err = fmt("device %d out of range (%d devices)", device, count); return false; } DRV_CHECK(c, c.drv.deviceGet(&c.dev, device), "cuDeviceGet"); char name[256] = {0}; DRV_CHECK(c, c.drv.deviceGetName(name, 255, c.dev), "cuDeviceGetName"); c.name = name; for (char& ch : c.name) if (ch == ' ') ch = '_'; DRV_CHECK(c, c.drv.deviceGetAttribute(&c.major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, c.dev), "compute capability major"); DRV_CHECK(c, c.drv.deviceGetAttribute(&c.minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, c.dev), "compute capability minor"); DRV_CHECK(c, c.drv.deviceGetAttribute(&c.sms, CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT, c.dev), "multiprocessor count"); c.drv.driverGetVersion(&c.driverVersion); // Blocking sync, set before the context exists: the host thread sleeps in cuStreamSynchronize instead of spinning // (one full core per worker at the default spin schedule, measured on the RTX 5090 with eight workers, 3 Oct 2026). c.drv.primaryCtxSetFlags(c.dev, CU_CTX_SCHED_BLOCKING_SYNC); DRV_CHECK(c, c.drv.primaryCtxRetain(&c.ctx, c.dev), "cuDevicePrimaryCtxRetain"); DRV_CHECK(c, c.drv.ctxSetCurrent(c.ctx), "cuCtxSetCurrent"); c.rtc.version(&c.rtcMajor, &c.rtcMinor); if (c.rtc.getNumSupportedArchs && c.rtc.getSupportedArchs) { int n = 0; if (c.rtc.getNumSupportedArchs(&n) == NVRTC_SUCCESS && n > 0 && n < 256) { c.rtcArchs.assign((size_t)n, 0); if (c.rtc.getSupportedArchs(c.rtcArchs.data()) != NVRTC_SUCCESS) c.rtcArchs.clear(); } } // The target: the device's own SASS (sm_XY) when this NVRTC knows the architecture, else PTX for the newest // architecture it knows below the device's, which the driver JIT-compiles forward. --arch overrides. int cc = c.major * 10 + c.minor; if (archArg != "auto" && !archArg.empty()) { c.archOpt = archArg; c.ptx = archArg.rfind("compute_", 0) == 0; c.why = "--arch"; } else if (c.rtcArchs.empty()) { c.archOpt = fmt("sm_%d", cc); c.why = "the device's architecture (NVRTC did not list its targets)"; } else { bool known = false; int best = 0; for (int a : c.rtcArchs) { if (a == cc) known = true; if (a <= cc && a > best) best = a; } if (known) { c.archOpt = fmt("sm_%d", cc); c.why = "the device's architecture, listed by NVRTC"; } else if (best > 0) { c.archOpt = fmt("compute_%d", best); c.ptx = true; c.why = fmt("this NVRTC does not know sm_%d; PTX for compute_%d, JIT-compiled by the driver", cc, best); } else { c.archOpt = fmt("compute_%d", c.rtcArchs.front()); c.ptx = true; c.why = fmt("this NVRTC knows nothing at or below sm_%d; PTX for its oldest target", cc); } } return true; } // --------------------------------------------------------------------------------------------- // NVRTC: compile one of the pack's kernel files // The pack's kernel files end in host-side launch wrappers (cudaError_t igneum_launch_* with <<< >>> launches) that // nvcc compiles for the host. NVRTC compiles device code only, so the text is cut there. The cut is checked: nothing // device-side may follow it. static bool deviceOnly(const std::string& text, std::string& out, std::string& err) { size_t cut = text.find("\n// Host-side launch wrappers"); if (cut == std::string::npos) cut = text.find("\ncudaError_t "); if (cut == std::string::npos) { out = text; return true; } std::string tail = text.substr(cut + 1); if (tail.find("__global__") != std::string::npos || tail.find("__device__") != std::string::npos) { err = "device code after the host launch wrappers; the pack layout is not the one this worker knows"; return false; } out = text.substr(0, cut + 1); return true; } static const char* STUB_CUDA_RUNTIME = "// igneum-worker-cuda: stand-in for under NVRTC, which has the device built-ins already\n" "#pragma once\n" "#ifndef __CUDACC_RTC__\n#error \"this stub is for NVRTC only\"\n#endif\n" "#ifdef __SIZE_TYPE__\ntypedef __SIZE_TYPE__ size_t;\n#elif defined(__LP64__) || defined(_LP64)\ntypedef unsigned long size_t;\n#else\ntypedef unsigned long long size_t;\n#endif\n"; static const char* STUB_CSTDINT = "// igneum-worker-cuda: stand-in for under NVRTC (the fixed-width types the packs use)\n" "#pragma once\n" "typedef signed char int8_t; typedef unsigned char uint8_t; typedef short int16_t; typedef unsigned short uint16_t;\n" "typedef int int32_t; typedef unsigned int uint32_t;\n" "#if defined(__LP64__) || defined(_LP64)\ntypedef long int64_t; typedef unsigned long uint64_t;\n" "#else\ntypedef long long int64_t; typedef unsigned long long uint64_t;\n#endif\n"; struct Compiled { std::vector image; std::vector lowered; double ms = 0; std::string log; }; static bool rtcCompile(Ctx& c, const std::string& src, const char* name, const std::string& programH, const std::string& memhardH, const std::vector& nameExprs, Compiled& out, std::string& err, const std::vector& extraOpts = {}) { double t0 = wallMs(); const char* headers[4] = { STUB_CUDA_RUNTIME, STUB_CSTDINT, programH.c_str(), memhardH.c_str() }; const char* names[4] = { "cuda_runtime.h", "cstdint", "program.h", "memhard.h" }; nvrtcProgram prog = nullptr; nvrtcResult r = c.rtc.createProgram(&prog, src.c_str(), name, 4, headers, names); if (r != NVRTC_SUCCESS) { err = std::string("nvrtcCreateProgram: ") + c.rtc.getErrorString(r); return false; } for (const std::string& e : nameExprs) { r = c.rtc.addNameExpression(prog, e.c_str()); if (r != NVRTC_SUCCESS) { err = "nvrtcAddNameExpression " + e + ": " + c.rtc.getErrorString(r); c.rtc.destroyProgram(&prog); return false; } } std::string archOpt = "--gpu-architecture=" + c.archOpt; // -default-device: NVRTC rejects unannotated functions as host code (nvcc treats them as host and discards them); // the pack headers (program.h, memhard.h) carry plain inline helpers, so every unannotated function is device code here. std::vector opts = { archOpt.c_str(), "--std=c++17", "-default-device" }; for (const std::string& o : extraOpts) opts.push_back(o.c_str()); r = c.rtc.compileProgram(prog, (int)opts.size(), opts.data()); { size_t logSize = 0; if (c.rtc.getProgramLogSize(prog, &logSize) == NVRTC_SUCCESS && logSize > 1) { std::vector log(logSize); c.rtc.getProgramLog(prog, log.data()); out.log.assign(log.data(), logSize - 1); } } if (r != NVRTC_SUCCESS) { std::string one; for (char ch : out.log) { if (ch == '\n' || ch == '\r') { if (one.size() && one.back() != '|') one += " | "; } else one += ch; if (one.size() > 600) break; } err = std::string("nvrtcCompileProgram ") + name + " for " + c.archOpt + ": " + c.rtc.getErrorString(r) + ": " + one; c.rtc.destroyProgram(&prog); return false; } for (const std::string& e : nameExprs) { const char* lowered = nullptr; r = c.rtc.getLoweredName(prog, e.c_str(), &lowered); if (r != NVRTC_SUCCESS || !lowered) { err = "nvrtcGetLoweredName " + e + ": " + c.rtc.getErrorString(r); c.rtc.destroyProgram(&prog); return false; } out.lowered.push_back(lowered); } size_t n = 0; if (c.ptx) { r = c.rtc.getPTXSize(prog, &n); if (r == NVRTC_SUCCESS) { out.image.resize(n); r = c.rtc.getPTX(prog, out.image.data()); } } else { r = c.rtc.getCUBINSize(prog, &n); if (r == NVRTC_SUCCESS) { out.image.resize(n); r = c.rtc.getCUBIN(prog, out.image.data()); } } c.rtc.destroyProgram(&prog); if (r != NVRTC_SUCCESS || n == 0) { err = std::string(c.ptx ? "nvrtcGetPTX" : "nvrtcGetCUBIN") + ": " + c.rtc.getErrorString(r); return false; } out.ms = wallMs() - t0; return true; } // --------------------------------------------------------------------------------------------- // A resident pair: one pack compiled, its cache and dataset on the device, self-tested static bool hexEq(const std::string& a, const std::string& b) { if (a.size() != b.size()) return false; for (size_t i = 0; i < a.size(); ++i) if (std::tolower((unsigned char)a[i]) != std::tolower((unsigned char)b[i])) return false; return true; } struct Pair; // A pair is the pair of a job when the job's seeds (the hex the node sent) are the pair's seeds. The derived seed // words are no identity: a retried program's words are its attempt's words, not the bare seed's (packfile.h, // 5 October 2026), so comparing words refused every job of a retried program. static bool pairIs(const Pair* p, const std::string& epochHex, const std::string& dayHex); struct Pair { std::string dir, epochHex, dayHex, seedString; uint32_t sw[8] = {0}, kw[8] = {0}; uint32_t datasetLog2 = 0, words = 0, cacheWords = 0, cacheSegments = 0; uint32_t items = 0, mulshift = 0; // research class ds55: words / 16 items; 1 when the pack's loads are (src * words) >> 32 CUmodule modKernel = nullptr, modBound = nullptr; CUfunction fCacheFill = nullptr, fBuild = nullptr, fHashBound = nullptr; CUdeviceptr cache = 0, ds = 0; double compileMs = 0, cacheMs = 0, dsMs = 0, checkMs = 0; std::string check; bool checkPass = false, checked = false; int regs = 0, blocksPerSM = 0; int blockWarps = 1; // threads per block = 32 x this (the winning variant's, else the worker's default) std::string variant = "base"; // the bound kernel in service: a variant name (see allVariants) std::string raceLine; // the race's one-line report, emitted by the main thread with "prepared" double raceMs = 0; // read-width experiment (5 October 2026): the pack's load class and, for variant 5, the persistent-warp scratch std::string loadClass = "v2"; std::string programClass = "v2", eraHex; // Counter ASIC 2.0: the pack's class and era seed (packfile.h) uint32_t loadsPerHash = 128, bytesPerHash = 512, scratchOps = 0; bool persistent = false; CUdeviceptr scratch = 0; int warps = 0; // persistent warps launched (the arena holds this many) int residentWarps = 0; // the occupancy query's capacity: blocks/SM x warps/block x SMs size_t scratchBytes = 0; // hot-table experiment (5 October 2026, docs/plans/hot-table.md): the epoch's hot table, filled on the device by the // pack's igneum_hot_fill, the argument after the init words uint32_t hotMb = 0, hotWords = 0, hotSegments = 0, hotSlots = 0; CUfunction fHotFill = nullptr; // class v5 (7 October 2026): the pack's state leaves, uploaded for igneum_build and freed after it (0 for other classes) uint32_t stateLeaves = 0; CUdeviceptr hot = 0; double hotMs = 0; }; static bool pairIs(const Pair* p, const std::string& epochHex, const std::string& dayHex) { return p && hexEq(p->epochHex, epochHex) && hexEq(p->dayHex, dayHex); } // Counter ASIC 2.0: a job that names a class (and an era) belongs to a pair of that class (and era) only, so a pack // of the old class for the same seeds is not this job's pair and the prepared pack of the right class wins. static bool pairIsClass(const Pair* p, const std::string& epochHex, const std::string& dayHex, const std::string& cls, const std::string& era) { char why[256]; return pairIs(p, epochHex, dayHex) && pf_pack_class_ok(p->programClass.c_str(), p->eraHex.c_str(), cls.c_str(), era.c_str(), why, sizeof(why)); } // The trailing `class=` and `era=` tokens of a job or prepare line (absent on every class v2 line), removed from `f`. static void takeClassTokens(std::vector& f, std::string& cls, std::string& era) { while (!f.empty()) { char c[8] = {0}, e[65] = {0}; if (!pf_class_token(f.back().c_str(), c, sizeof(c), e, sizeof(e))) break; if (c[0]) cls = c; if (e[0]) era = e; f.pop_back(); } } // The job loop and a race take turns on the card: a variant is timed with no job running (exclusive numbers), and // mining resumes between variants. Held per chunk by the job loop, per variant by the race. static std::mutex gpuMutex; static void releasePair(Ctx& c, Pair* p) { if (!p) return; if (p->ds) c.drv.memFree(p->ds); if (p->cache) c.drv.memFree(p->cache); if (p->scratch) c.drv.memFree(p->scratch); if (p->hot) c.drv.memFree(p->hot); if (p->modBound) c.drv.moduleUnload(p->modBound); if (p->modKernel) c.drv.moduleUnload(p->modKernel); delete p; } struct IgneumInitWordsArg { uint32_t w[8]; }; // `block` threads per block (32 x warps); `nonces` must be a multiple of it. static bool launchHash(Ctx& c, Pair* p, CUdeviceptr out, uint32_t baseNonce, const uint32_t iw[8], uint32_t nonces, uint32_t block, CUstream s, std::string& err) { uint32_t mask = p->words - 1u; IgneumInitWordsArg a; std::memcpy(a.w, iw, 32); if (p->persistent) { // Variant 5: N persistent warps over nonces / 32 units; the arena was sized for p->warps warps in buildPair. uint32_t units = nonces / 32u, warps = (uint32_t)p->warps; if (warps > units) warps = units; while (warps > 1u && units % warps != 0u) warps >>= 1; if (block != 32u) { err = "a variant-5 pack runs one warp per block (--block-warps 1)"; return false; } uint32_t salt = c.salt; c.salt += units; // the hot table (when the pack has one) sits between the init words and the scratch triple void* args[9] = { &p->ds, &out, &baseNonce, &mask, &a, &p->scratch, &units, &salt, nullptr }; if (p->hot) { args[5] = &p->hot; args[6] = &p->scratch; args[7] = &units; args[8] = &salt; } DRV_CHECK(c, c.drv.launchKernel(p->fHashBound, warps, 1, 1, 32, 1, 1, 0, s, args, nullptr), "cuLaunchKernel igneum_hash_bound (persistent)"); return true; } void* args[6] = { &p->ds, &out, &baseNonce, &mask, &a, &p->hot }; DRV_CHECK(c, c.drv.launchKernel(p->fHashBound, nonces / block, 1, 1, block, 1, 1, 0, s, args, nullptr), "cuLaunchKernel igneum_hash_bound"); return true; } // --------------------------------------------------------------------------------------------- // Variant racing struct Variant { std::string name; int unroll = 0; // 0: the iteration loop as emitted; N: "#pragma unroll N" before it (8 = fully unrolled) int load = 0; // 0: plain ds[i]; 1: __ldg (read-only data path); 2: __ldcg (L2 only, no L1); 3: __ldcs (streaming) int maxrreg = 0; // 0: none; N: --maxrregcount=N (registers per thread, occupancy against spills) int blockWarps = 0; // 0: the worker's --block-warps; N: 32 x N threads per block int minBlocks = 0; // N > 0: __launch_bounds__(32 x blockWarps, N) (the compiler fits N blocks per SM) }; // The catalogue. Names are stable: the tuning file and the fleet records use them. "base" is the pack's text as // shipped with the worker's default block and is always the first entry of a race. static std::vector allVariants() { std::vector v; auto add = [&](const char* n, int unroll, int load, int maxrreg, int bw, int minBlocks) { Variant x; x.name = n; x.unroll = unroll; x.load = load; x.maxrreg = maxrreg; x.blockWarps = bw; x.minBlocks = minBlocks; v.push_back(x); }; add("base", 0, 0, 0, 0, 0); add("w2", 0, 0, 0, 2, 0); add("w4", 0, 0, 0, 4, 0); add("w8", 0, 0, 0, 8, 0); add("u2", 2, 0, 0, 0, 0); add("u8", 8, 0, 0, 0, 0); add("ldg", 0, 1, 0, 0, 0); add("ldcg", 0, 2, 0, 0, 0); add("ldcs", 0, 3, 0, 0, 0); add("r32", 0, 0, 32, 0, 0); add("r64", 0, 0, 64, 0, 0); add("lb4-w4", 0, 0, 0, 4, 4); add("lb8-w2", 0, 0, 0, 2, 8); add("u2-ldg", 2, 1, 0, 0, 0); add("u2-w4", 2, 0, 0, 4, 0); add("ldg-w4", 0, 1, 0, 4, 0); add("ldcg-w4", 0, 2, 0, 4, 0); return v; } static const Variant* findVariant(const std::vector& all, const std::string& name) { for (const Variant& v : all) if (v.name == name) return &v; return nullptr; } // The variant's source: the pack's bound-kernel text with the variant's rewrites. Every rewrite has an exact anchor // in the text igneum-pow emits; a text without the anchor refuses the variant (why), it is never guessed. static bool variantSource(const std::string& base, const Variant& v, int blockWarps, std::string& out, std::string& why) { out = base; if (v.unroll > 0) { const char* anchor = "\n for (uint32_t it = 0u; it < "; size_t p = out.find(anchor); if (p == std::string::npos) { why = "no iteration loop in the bound kernel text"; return false; } out.insert(p + 1, fmt("#pragma unroll %d\n", v.unroll)); } if (v.load > 0) { const char* fn = v.load == 1 ? "__ldg" : v.load == 2 ? "__ldcg" : "__ldcs"; size_t body = out.find("igneum_hash_bound("); if (body == std::string::npos) { why = "no igneum_hash_bound in the text"; return false; } size_t p = body; int n = 0; while ((p = out.find(" ^ ds[", p)) != std::string::npos) { size_t close = out.find(']', p); if (close == std::string::npos) { why = "an unterminated dataset load"; return false; } out.insert(close + 1, ")"); // " ^ ds[idx]" -> " ^ __ldg(&ds[idx])" out.insert(p + 3, std::string(fn) + "(&"); p += 6; ++n; } if (n == 0) { why = "no dataset loads in the bound kernel"; return false; } } if (v.minBlocks > 0) { const char* a = "__global__ void igneum_hash_bound("; size_t p = out.find(a); if (p == std::string::npos) { why = "no kernel declaration anchor"; return false; } out.replace(p, std::strlen(a), fmt("__global__ void __launch_bounds__(%d, %d) igneum_hash_bound(", 32 * blockWarps, v.minBlocks)); } return true; } // The tuning file: {"cards": {"": {"variant": "u2-ldg", "race": false, // "candidates": ["u2-ldg", "ldg", "base"]}}, ...}. Read with plain string scanning (no JSON library in this exe); // a file that does not parse means no tuning. Keys and names are [A-Za-z0-9_.-]. struct Tuning { bool found = false; std::string variant; // pinned variant ("" = none) bool race = true; // false: use the pinned variant without a race std::vector candidates; }; static std::string jsonStringAfter(const std::string& t, size_t from, const char* key, size_t limit) { size_t k = t.find(std::string("\"") + key + "\"", from); if (k == std::string::npos || k > limit) return ""; size_t q = t.find('"', t.find(':', k) + 1); if (q == std::string::npos) return ""; size_t e = t.find('"', q + 1); return e == std::string::npos ? "" : t.substr(q + 1, e - q - 1); } static Tuning readTuning(const std::string& text, const std::string& device) { Tuning tu; if (text.empty()) return tu; size_t cards = text.find("\"cards\""); if (cards == std::string::npos) return tu; size_t k = text.find("\"" + device + "\"", cards); if (k == std::string::npos) return tu; size_t open = text.find('{', k); if (open == std::string::npos) return tu; size_t close = open; int depth = 0; for (; close < text.size(); ++close) { if (text[close] == '{') ++depth; else if (text[close] == '}' && --depth == 0) break; } if (close >= text.size()) return tu; tu.found = true; tu.variant = jsonStringAfter(text, open, "variant", close); size_t r = text.find("\"race\"", open); if (r != std::string::npos && r < close) { size_t c = text.find(':', r); tu.race = text.compare(text.find_first_not_of(" \t\r\n", c + 1), 5, "false") != 0; } size_t cand = text.find("\"candidates\"", open); if (cand != std::string::npos && cand < close) { size_t a = text.find('[', cand), b = text.find(']', a == std::string::npos ? cand : a); if (a != std::string::npos && b != std::string::npos && b < close) { size_t i = a; while ((i = text.find('"', i + 1)) != std::string::npos && i < b) { size_t e = text.find('"', i + 1); if (e == std::string::npos || e > b) break; tu.candidates.push_back(text.substr(i + 1, e - i - 1)); i = e; } } } return tu; } struct RaceEntry { Variant v; int blockWarps = 1; // the block this entry runs with Compiled cb; CUmodule mod = nullptr; CUfunction fn = nullptr; int regs = 0, blocksPerSM = 0; double mhs = 0; // best round bool ok = false; // compiled, loaded, self-tested std::string note; // why not, or a detail std::string src; }; // One timed window on the card for an entry: the pack's vector warps (bit-exact or the entry is out), then // launches of `batch` nonces until benchMs elapsed (the first launch warms up and is not counted). Holds gpuMutex. static bool raceTime(Ctx& c, Pair* p, const PfPack& pk, RaceEntry& e, CUdeviceptr dOut, uint32_t batch, int benchMs, CUstream s, bool selfTest) { std::lock_guard hold(gpuMutex); CUfunction keep = p->fHashBound; p->fHashBound = e.fn; std::string err; uint32_t block = 32u * (uint32_t)e.blockWarps; bool ok = true; if (selfTest && pk.haveVectors) { std::vector vec(32); for (int w = 0; w < pk.vecWarps && ok; ++w) { if (!launchHash(c, p, dOut, pk.vecBase[w], p->sw, block, block, s, err)) { e.note = "launch: " + err; ok = false; break; } CUresult r = c.drv.streamSynchronize(s); if (r == CUDA_SUCCESS) r = c.drv.memcpyDtoH(vec.data(), dOut, 32u * 8u); if (r != CUDA_SUCCESS) { e.note = "vector warp: " + c.err(r); ok = false; break; } for (int l = 0; l < 32; ++l) if (vec[(size_t)l] != pk.vecOut[w][l]) { e.note = fmt("vector warp %d lane %d: device %016llx expected %016llx (discarded)", w, l, (unsigned long long)vec[(size_t)l], (unsigned long long)pk.vecOut[w][l]); ok = false; break; } } } if (ok) { uint32_t iw[8]; std::memcpy(iw, p->sw, 32); uint32_t n = batch - (batch % block); if (n == 0) n = block; double t0 = 0; uint64_t hashes = 0; int launches = 0; while (true) { if (!launchHash(c, p, dOut, 0x10000000u + (uint32_t)launches * n, iw, n, block, s, err)) { e.note = "launch: " + err; ok = false; break; } CUresult r = c.drv.streamSynchronize(s); if (r != CUDA_SUCCESS) { e.note = "bench: " + c.err(r); ok = false; break; } double now = wallMs(); if (launches == 0) t0 = now; else hashes += n; ++launches; if (launches >= 3 && now - t0 >= benchMs) { double mhs = (double)hashes / (now - t0) / 1000.0; if (mhs > e.mhs) e.mhs = mhs; break; } } } p->fHashBound = keep; return ok; } // Races the bound kernel of `p` (its cache and dataset are built, its base kernel self-tested) and installs the // winner: p->modBound, fHashBound, regs, blockWarps, variant. The pair keeps serving its base kernel if every other // entry fails. `boundDev`, `programH`, `memhardH` are the texts the base was compiled from. Sets p->raceLine. static void racePair(Ctx& c, Pair* p, const PfPack& pk, const std::string& boundDev, const std::string& programH, const std::string& memhardH, CUstream s) { double t0 = wallMs(); std::vector all = allVariants(); Tuning tu = readTuning(c.tuning, c.name); std::string pinned = !c.pinned.empty() ? c.pinned : (tu.found && !tu.race ? tu.variant : ""); // the order: base first, then the pinned or tuned candidates, then the rest (or the --race list only) std::vector order; auto push = [&](const std::string& n) { const Variant* v = findVariant(all, n); if (v && !findVariant(order, n)) order.push_back(*v); }; push("base"); if (!pinned.empty()) push(pinned); else { for (const std::string& n : tu.candidates) push(n); if (c.race != "on" && c.race != "off") { std::string rest = c.race; size_t i = 0; while (i <= rest.size()) { size_t j = rest.find(',', i); if (j == std::string::npos) j = rest.size(); if (j > i) push(rest.substr(i, j - i)); i = j + 1; } } else if (c.race == "on") for (const Variant& v : all) push(v.name); } #ifdef IGNEUM_EMU order.resize(1); // the stand-in checks that the handed-over text is the pack's; no rewrites under emulation #endif if (order.size() < 2) { // nothing to race against base (emulation, or --race with no known name): no timing, the base kernel serves p->blockWarps = c.blockWarps; p->variant = "base"; p->raceMs = wallMs() - t0; p->raceLine = fmt("race %.16s device %s variants 1 base only, no race (%s)", p->epochHex.c_str(), c.name.c_str(), #ifdef IGNEUM_EMU "emulation"); #else "no other variant named"); #endif return; } const bool pinnedOnly = !pinned.empty() && order.size() == 2; uint32_t batch = 1u << c.batchLog2; int benchMs = c.raceBenchMs; double deadline = t0 + c.raceBudgetS * 1000.0; std::vector entries; for (const Variant& v : order) { RaceEntry e; e.v = v; e.blockWarps = v.blockWarps > 0 ? v.blockWarps : c.blockWarps; if (v.name == "base") { e.mod = p->modBound; e.fn = p->fHashBound; e.regs = p->regs; e.blocksPerSM = p->blocksPerSM; e.ok = true; } else if (!variantSource(boundDev, v, e.blockWarps, e.src, e.note)) e.ok = false; else e.ok = true; // compiled below entries.push_back(std::move(e)); } // Compile the variants, up to four at a time (NVRTC is thread-safe; the compile is CPU work) { std::vector todo; for (size_t i = 1; i < entries.size(); ++i) if (entries[i].ok) todo.push_back(i); size_t next = 0; std::mutex m; auto work = [&]() { while (true) { size_t i; { std::lock_guard g(m); if (next >= todo.size() || wallMs() > deadline - benchMs) return; i = todo[next++]; } RaceEntry& e = entries[i]; std::vector extra; if (e.v.maxrreg > 0) extra.push_back(fmt("--maxrregcount=%d", e.v.maxrreg)); std::string err; if (!rtcCompile(c, e.src, "kernel_bound.cu", programH, memhardH, { "igneum_hash_bound" }, e.cb, err, extra)) { e.ok = false; e.note = "compile: " + err.substr(0, 200); } } }; int threads = (int)std::min(4, std::max(1, todo.size())); std::vector ts; for (int t = 0; t < threads; ++t) ts.emplace_back(work); for (std::thread& t : ts) t.join(); for (size_t i = 1; i < entries.size(); ++i) if (entries[i].ok && entries[i].cb.image.empty()) { entries[i].ok = false; entries[i].note = "not compiled: the race budget ran out"; } } // Load the modules (the context is current on this thread) for (size_t i = 1; i < entries.size(); ++i) { RaceEntry& e = entries[i]; if (!e.ok) continue; CUresult r = c.drv.moduleLoadData(&e.mod, e.cb.image.data()); if (r != CUDA_SUCCESS) { e.ok = false; e.note = "cuModuleLoadData: " + c.err(r); e.mod = nullptr; continue; } if (c.drv.moduleGetFunction(&e.fn, e.mod, e.cb.lowered[0].c_str()) != CUDA_SUCCESS) { e.ok = false; e.note = "function not in the module"; continue; } c.drv.funcGetAttribute(&e.regs, CU_FUNC_ATTRIBUTE_NUM_REGS, e.fn); c.drv.occupancy(&e.blocksPerSM, e.fn, 32 * e.blockWarps, 0); } double compileMs = wallMs() - t0; // Time them: rounds over the entries, interleaved, best per entry. A pinned variant is only self-tested. CUdeviceptr dOut = 0; std::string benchErr; if (c.drv.memAlloc(&dOut, (size_t)batch * 8u) != CUDA_SUCCESS) { benchErr = "cuMemAlloc for the race"; for (RaceEntry& e : entries) if (e.v.name != "base") e.ok = false; } int rounds = pinnedOnly ? 1 : std::max(1, c.raceRounds); for (int round = 0; round < rounds && benchErr.empty(); ++round) { for (size_t i = 0; i < entries.size(); ++i) { RaceEntry& e = entries[i]; if (!e.ok) continue; if (i > 0 && round == 0 && wallMs() > deadline) { e.ok = false; e.note = "not timed: the race budget ran out"; continue; } if (pinnedOnly && i == 0) continue; if (!raceTime(c, p, pk, e, dOut, batch, pinnedOnly ? 0 : benchMs, s, round == 0)) e.ok = false; // the mutex is not fair: give the job loop the card between windows (measured on the Mac, 4 October // 2026: without this a queued job waited the whole race, 36 s) std::this_thread::sleep_for(std::chrono::milliseconds(150)); } } if (dOut) c.drv.memFree(dOut); // The winner: the fastest entry; base keeps its place unless a variant is at least 0.5% faster (noise guard). size_t win = 0; if (pinnedOnly && entries.size() == 2 && entries[1].ok) win = 1; else for (size_t i = 1; i < entries.size(); ++i) if (entries[i].ok && entries[i].mhs > entries[win].mhs * (win == 0 ? 1.005 : 1.0)) win = i; double baseMhs = entries[0].mhs, winMhs = entries[win].mhs; if (win != 0) { RaceEntry& w = entries[win]; c.drv.moduleUnload(p->modBound); p->modBound = w.mod; p->fHashBound = w.fn; p->regs = w.regs; p->blocksPerSM = w.blocksPerSM; p->blockWarps = w.blockWarps; p->variant = w.v.name; w.mod = nullptr; } else { p->blockWarps = c.blockWarps; p->variant = "base"; } for (size_t i = 1; i < entries.size(); ++i) if (entries[i].mod) c.drv.moduleUnload(entries[i].mod); p->raceMs = wallMs() - t0; // The one line. Variants in race order: name=MH/s (regs), or name=- (why). uint32_t loads = 0, wide = 0; pf_define_u32(programH.c_str(), "IGNEUM_LOADS_PER_HASH", &loads); pf_define_u32(programH.c_str(), "IGNEUM_WIDE_LOADS_PER_HASH", &wide); std::string line = fmt("race %.16s device %s driver %d.%d arch %s loads %u wide %u variants %zu", p->epochHex.c_str(), c.name.c_str(), c.driverVersion / 1000, (c.driverVersion % 100) / 10, c.archOpt.c_str(), loads, wide, entries.size()); for (const RaceEntry& e : entries) { if (e.ok && (e.mhs > 0 || pinnedOnly)) line += fmt(" %s=%.3f/%dr/%dw", e.v.name.c_str(), e.mhs, e.regs, e.blockWarps); else line += fmt(" %s=-", e.v.name.c_str()); } line += fmt(" winner %s %.3f base %.3f gain %+.2f%% compile %.0f bench %.0f total %.0f ms%s%s", p->variant.c_str(), winMhs, baseMhs, baseMhs > 0 ? (winMhs / baseMhs - 1.0) * 100.0 : 0.0, compileMs, p->raceMs - compileMs, p->raceMs, pinnedOnly ? " pinned by tuning" : (tu.found ? " tuned order" : ""), benchErr.empty() ? "" : (" " + benchErr).c_str()); for (const RaceEntry& e : entries) if (!e.ok && !e.note.empty()) line += " | " + e.v.name + ": " + e.note; p->raceLine = line; } // Compiles the pack in `dir`, builds its cache and dataset on stream `s`, runs the self-test, races the variants // (`race`). Returns the pair or null with `err` set. Runs on the main thread for --pack and --check, on the prepare // thread for `prepare`. static Pair* buildPair(Ctx& c, const std::string& dir, CUstream s, std::string& err, bool race) { PfPack pk; char perr[512]; if (!pf_load(dir.c_str(), &pk, perr, sizeof(perr))) { err = std::string("pack ") + dir + ": " + perr; return nullptr; } bool ok1, ok2, ok3, ok4; std::string kernelCu = readText(dir + "/kernel.cu", ok1), boundCu = readText(dir + "/kernel_bound.cu", ok2); std::string programH = readText(dir + "/program.h", ok3), memhardH = readText(dir + "/memhard.h", ok4); if (!ok1 || !ok2 || !ok3 || !ok4) { err = "pack " + dir + " lacks kernel.cu, kernel_bound.cu, program.h or memhard.h"; return nullptr; } std::string kernelDev, boundDev; if (!deviceOnly(kernelCu, kernelDev, err) || !deviceOnly(boundCu, boundDev, err)) { err = "pack " + dir + ": " + err; return nullptr; } Pair* p = new Pair(); p->dir = dir; p->epochHex = pk.epochHex; p->dayHex = pk.dayHex; p->seedString = pk.seedString; std::memcpy(p->sw, pk.seedw, 32); std::memcpy(p->kw, pk.keyw, 32); // the dataset's size is the pack's word count (IGNEUM_DATASET_WORDS when present, else 1 << IGNEUM_DATASET_LOG2: packfile.h), // never the power of two of the floor: a 5.5 GiB research pack holds 1,476,395,008 words and 92,274,688 items p->datasetLog2 = pk.datasetLog2; p->words = pk.datasetWords; p->items = pk.datasetItems; p->mulshift = pk.datasetMulshift; p->cacheWords = 1u << pk.cacheLog2Words; p->cacheSegments = pk.cacheSegments; // Compile Compiled ck, cb; std::vector kernelNames = { "igneum_cache_fill", "igneum_build" }; if (pk.hotMb) kernelNames.push_back("igneum_hot_fill"); if (!rtcCompile(c, kernelDev, "kernel.cu", programH, memhardH, kernelNames, ck, err)) { releasePair(c, p); return nullptr; } if (!rtcCompile(c, boundDev, "kernel_bound.cu", programH, memhardH, { "igneum_hash_bound" }, cb, err)) { releasePair(c, p); return nullptr; } p->compileMs = ck.ms + cb.ms; // Load { CUresult r = c.drv.moduleLoadData(&p->modKernel, ck.image.data()); if (r != CUDA_SUCCESS) { err = "cuModuleLoadData kernel.cu (" + c.archOpt + "): " + c.err(r); releasePair(c, p); return nullptr; } r = c.drv.moduleLoadData(&p->modBound, cb.image.data()); if (r != CUDA_SUCCESS) { err = "cuModuleLoadData kernel_bound.cu (" + c.archOpt + "): " + c.err(r); releasePair(c, p); return nullptr; } if (c.drv.moduleGetFunction(&p->fCacheFill, p->modKernel, ck.lowered[0].c_str()) != CUDA_SUCCESS) { err = "igneum_cache_fill (" + ck.lowered[0] + ") not in the module"; releasePair(c, p); return nullptr; } if (c.drv.moduleGetFunction(&p->fBuild, p->modKernel, ck.lowered[1].c_str()) != CUDA_SUCCESS) { err = "igneum_build (" + ck.lowered[1] + ") not in the module"; releasePair(c, p); return nullptr; } if (c.drv.moduleGetFunction(&p->fHashBound, p->modBound, cb.lowered[0].c_str()) != CUDA_SUCCESS) { err = "igneum_hash_bound (" + cb.lowered[0] + ") not in the module"; releasePair(c, p); return nullptr; } if (pk.hotMb && c.drv.moduleGetFunction(&p->fHotFill, p->modKernel, ck.lowered[2].c_str()) != CUDA_SUCCESS) { err = "igneum_hot_fill (" + ck.lowered[2] + ") not in the module"; releasePair(c, p); return nullptr; } c.drv.funcGetAttribute(&p->regs, CU_FUNC_ATTRIBUTE_NUM_REGS, p->fHashBound); c.drv.occupancy(&p->blocksPerSM, p->fHashBound, 32 * c.blockWarps, 0); } p->loadClass = pk.loadClass; p->loadsPerHash = pk.loadsPerHash; p->bytesPerHash = pk.bytesPerHash; p->scratchOps = pk.scratchOps; p->programClass = pk.programClass; p->eraHex = pk.eraHex; p->stateLeaves = pk.stateLeaves; p->persistent = pk.persistent != 0; // Class v5 (docs/design/class-v5-stored-state.md): the window's leaves (leaves.bin), read and checked against the pack's // count and FNV-1a 64 before anything is allocated; uploaded for igneum_build below and freed right after it, so device // memory while hashing is the class v4 worker's. A v5 pack without its leaves builds nothing (the known-failed case). uint32_t* hLeaves = nullptr; size_t leavesBytes = 0; { char lerr[700]; if (!pf_load_leaves(dir.c_str(), &pk, &hLeaves, &leavesBytes, lerr, sizeof(lerr))) { err = "pack " + dir + ": " + lerr; releasePair(c, p); return nullptr; } } p->hotMb = pk.hotMb; p->hotWords = pk.hotWords; p->hotSegments = pk.hotSegments; p->hotSlots = pk.hotSlots; p->residentWarps = p->blocksPerSM * c.blockWarps * c.sms; size_t scratchBytes = 0, hotBytes = (size_t)pk.hotWords * 4u; if (p->persistent) { // Variant 5: one arena per launched warp. The launch is the resident capacity (the occupancy query), rounded // down to a power of two so it divides every batch, or --warps; the allocation cannot change the occupancy // (registers and shared memory decide it), and the number is re-queried after the allocation below to show it. if (c.blockWarps != 1) { err = "a variant-5 pack runs one warp per block: use --block-warps 1"; releasePair(c, p); return nullptr; } int w = c.warps > 0 ? c.warps : p->residentWarps; int pw = 1; while (pw * 2 <= w) pw *= 2; p->warps = pw; scratchBytes = (size_t)p->warps * 32u * (size_t)pk.scratchWordsPerLane * 4u; } // Cache double t0 = wallMs(); size_t cacheBytes = (size_t)p->cacheWords * 4u, dsBytes = (size_t)p->words * 4u; { size_t freeB = 0, totalB = 0; if (c.drv.memGetInfo(&freeB, &totalB) == CUDA_SUCCESS && freeB < cacheBytes + dsBytes + scratchBytes + hotBytes + leavesBytes + (64u << 20)) { err = fmt("%llu MiB free on the device, this pack needs %llu MiB (cache %llu + dataset %llu + scratch %llu + hot %llu + leaves %llu)", (unsigned long long)(freeB >> 20), (unsigned long long)((cacheBytes + dsBytes + scratchBytes + hotBytes + leavesBytes) >> 20), (unsigned long long)(cacheBytes >> 20), (unsigned long long)(dsBytes >> 20), (unsigned long long)(scratchBytes >> 20), (unsigned long long)(hotBytes >> 20), (unsigned long long)(leavesBytes >> 20)); std::free(hLeaves); releasePair(c, p); return nullptr; } } if (p->persistent) { CUresult r = c.drv.memAlloc(&p->scratch, scratchBytes); if (r != CUDA_SUCCESS) { err = "cuMemAlloc scratch: " + c.err(r); p->scratch = 0; std::free(hLeaves); releasePair(c, p); return nullptr; } p->scratchBytes = scratchBytes; int after = 0; c.drv.occupancy(&after, p->fHashBound, 32 * c.blockWarps, 0); info(fmt("variant 5: %d persistent warps (resident capacity %d = %d blocks/SM x %d warps/block x %d SMs; occupancy query after the allocation %d blocks/SM), scratch %llu MiB (%u KiB per warp)", p->warps, p->residentWarps, p->blocksPerSM, c.blockWarps, c.sms, after, (unsigned long long)(scratchBytes >> 20), pk.scratchWordsPerLane * 4u * 32u / 1024u)); } { CUresult r = c.drv.memAlloc(&p->cache, cacheBytes); if (r != CUDA_SUCCESS) { err = "cuMemAlloc cache: " + c.err(r); p->cache = 0; std::free(hLeaves); releasePair(c, p); return nullptr; } uint32_t nSeg = p->cacheSegments, block = 256u, grid = (nSeg + block - 1u) / block; void* args[2] = { &p->cache, &nSeg }; r = c.drv.launchKernel(p->fCacheFill, grid, 1, 1, block, 1, 1, 0, s, args, nullptr); if (r == CUDA_SUCCESS) r = c.drv.streamSynchronize(s); if (r != CUDA_SUCCESS) { err = "cache fill: " + c.err(r); std::free(hLeaves); releasePair(c, p); return nullptr; } } p->cacheMs = wallMs() - t0; // Dataset t0 = wallMs(); { CUresult r = c.drv.memAlloc(&p->ds, dsBytes); if (r != CUDA_SUCCESS) { err = "cuMemAlloc dataset: " + c.err(r); p->ds = 0; std::free(hLeaves); releasePair(c, p); return nullptr; } uint32_t nItems = p->items, block = 256u, grid = (nItems + block - 1u) / block; if (hLeaves) { // class v5: igneum_build(ds, cache, leaves, nLeaves, nItems), the leaf buffer freed once the build has run CUdeviceptr dLeaves = 0; uint32_t nLeaves = pk.stateLeaves; r = c.drv.memAlloc(&dLeaves, leavesBytes); if (r != CUDA_SUCCESS) { err = "cuMemAlloc state leaves: " + c.err(r); std::free(hLeaves); releasePair(c, p); return nullptr; } r = c.drv.memcpyHtoD(dLeaves, hLeaves, leavesBytes); std::free(hLeaves); hLeaves = nullptr; if (r == CUDA_SUCCESS) { void* args[5] = { &p->ds, &p->cache, &dLeaves, &nLeaves, &nItems }; r = c.drv.launchKernel(p->fBuild, grid, 1, 1, block, 1, 1, 0, s, args, nullptr); } if (r == CUDA_SUCCESS) r = c.drv.streamSynchronize(s); c.drv.memFree(dLeaves); if (r != CUDA_SUCCESS) { err = "dataset build (class v5, " + std::to_string(nLeaves) + " state leaves): " + c.err(r); releasePair(c, p); return nullptr; } } else { void* args[5] = { &p->ds, &p->cache, &nItems, nullptr, nullptr }; // five slots: the driver reads the kernel's three, the emulation reads the shape from the two null tails r = c.drv.launchKernel(p->fBuild, grid, 1, 1, block, 1, 1, 0, s, args, nullptr); if (r == CUDA_SUCCESS) r = c.drv.streamSynchronize(s); if (r != CUDA_SUCCESS) { err = "dataset build: " + c.err(r); releasePair(c, p); return nullptr; } } } p->dsMs = wallMs() - t0; // Hot table (hot-table experiment): filled from the epoch seed by the pack's own kernel, never shipped if (pk.hotMb) { t0 = wallMs(); CUresult r = c.drv.memAlloc(&p->hot, hotBytes); if (r != CUDA_SUCCESS) { err = "cuMemAlloc hot table: " + c.err(r); p->hot = 0; releasePair(c, p); return nullptr; } uint32_t nSeg = pk.hotSegments, block = 256u, grid = (nSeg + block - 1u) / block; void* args[2] = { &p->hot, &nSeg }; r = c.drv.launchKernel(p->fHotFill, grid, 1, 1, block, 1, 1, 0, s, args, nullptr); if (r == CUDA_SUCCESS) r = c.drv.streamSynchronize(s); if (r != CUDA_SUCCESS) { err = "hot table fill: " + c.err(r); releasePair(c, p); return nullptr; } p->hotMs = wallMs() - t0; } // Self-test against vectors.h t0 = wallMs(); if (!pk.haveVectors) { p->checked = false; p->checkPass = true; p->check = "self-test skipped (no vectors.h in the pack); the miner's CPU re-check covers every found nonce"; } else { uint32_t cacheHead[16], cacheLast[16], dsHead[16], dsLast = 0; std::vector samples((size_t)(pk.nSamples > 0 ? pk.nSamples : 1), 0u); std::vector vec((size_t)pk.vecWarps * 32u, 0ull); std::vector whole(p->cacheWords); CUresult r = c.drv.memcpyDtoH(whole.data(), p->cache, cacheBytes); if (r != CUDA_SUCCESS) { err = "cuMemcpyDtoH cache: " + c.err(r); releasePair(c, p); return nullptr; } std::memcpy(cacheHead, whole.data(), 64); std::memcpy(cacheLast, whole.data() + p->cacheWords - 16u, 64); uint64_t fnv = pf_fnv1a64(whole.data(), cacheBytes); whole.clear(); whole.shrink_to_fit(); if ((r = c.drv.memcpyDtoH(dsHead, p->ds, 64)) != CUDA_SUCCESS) { err = "cuMemcpyDtoH dataset head: " + c.err(r); releasePair(c, p); return nullptr; } if (pk.dsLastIndex < p->words) r = c.drv.memcpyDtoH(&dsLast, p->ds + (CUdeviceptr)pk.dsLastIndex * 4u, 4); for (int i = 0; i < pk.nSamples && r == CUDA_SUCCESS; ++i) if (pk.sampleIdx[i] < p->words) r = c.drv.memcpyDtoH(&samples[(size_t)i], p->ds + (CUdeviceptr)pk.sampleIdx[i] * 4u, 4); if (r != CUDA_SUCCESS) { err = "cuMemcpyDtoH dataset words: " + c.err(r); releasePair(c, p); return nullptr; } CUdeviceptr out = 0; if ((r = c.drv.memAlloc(&out, 32u * (size_t)c.blockWarps * 8u)) != CUDA_SUCCESS) { err = "cuMemAlloc vector out: " + c.err(r); releasePair(c, p); return nullptr; } for (int w = 0; w < pk.vecWarps; ++w) { // One block of 32 x block-warps lanes; the vector warp is its first 32 lanes (lane nonce = base + gid) if (!launchHash(c, p, out, pk.vecBase[w], p->sw, 32u * (uint32_t)c.blockWarps, 32u * (uint32_t)c.blockWarps, s, err)) { c.drv.memFree(out); releasePair(c, p); return nullptr; } if ((r = c.drv.streamSynchronize(s)) != CUDA_SUCCESS || (r = c.drv.memcpyDtoH(&vec[(size_t)w * 32u], out, 32u * 8u)) != CUDA_SUCCESS) { err = "vector warp: " + c.err(r); c.drv.memFree(out); releasePair(c, p); return nullptr; } } c.drv.memFree(out); uint32_t hotHead[16] = {0}, hotLast[16] = {0}; uint64_t hotFnv = 0; if (p->hot) { std::vector hw(p->hotWords); if ((r = c.drv.memcpyDtoH(hw.data(), p->hot, hotBytes)) != CUDA_SUCCESS) { err = "cuMemcpyDtoH hot table: " + c.err(r); releasePair(c, p); return nullptr; } std::memcpy(hotHead, hw.data(), 64); std::memcpy(hotLast, hw.data() + p->hotWords - 16u, 64); hotFnv = pf_fnv1a64(hw.data(), hotBytes); } char line[1024]; p->checkPass = pf_selftest(&pk, cacheHead, cacheLast, fnv, dsHead, dsLast, samples.data(), vec.data(), p->hot ? hotHead : nullptr, p->hot ? hotLast : nullptr, hotFnv, line, sizeof(line)) != 0; p->checked = true; p->check = line; } p->checkMs = wallMs() - t0; if (!p->checkPass) { err = p->check; releasePair(c, p); return nullptr; } p->blockWarps = c.blockWarps; if (race && c.race != "off") racePair(c, p, pk, boundDev, programH, memhardH, s); return p; } static std::string pairSummary(const Pair* p) { return fmt("nvrtc %.0f cache %.0f dataset %.0f hot %.0f check %.0f race %.0f ms variant %s class %s%s%s; %s", p->compileMs, p->cacheMs, p->dsMs, p->hotMs, p->checkMs, p->raceMs, p->variant.c_str(), p->programClass.c_str(), p->stateLeaves ? fmt(" (state leaves %u, uploaded for the build and freed)", p->stateLeaves).c_str() : "", p->mulshift ? fmt(" (dataset %u words, %u items, not a power of two: loads are (src * words) >> 32)", p->words, p->items).c_str() : "", p->check.c_str()); } // --------------------------------------------------------------------------------------------- // Prepare, on its own thread struct PrepareTask { std::string epochHex, dayHex, dir, error; std::string wantClass, wantEra; // the class and era the prepare line named (empty: any) std::atomic done{false}; Pair* result = nullptr; double t0 = 0; std::thread thread; }; static void prepareRun(Ctx* c, PrepareTask* t) { CUstream s = nullptr; std::string err; if (c->drv.ctxSetCurrent(c->ctx) != CUDA_SUCCESS) { t->error = "cuCtxSetCurrent on the prepare thread"; t->done = true; return; } if (c->drv.streamCreate(&s, CU_STREAM_NON_BLOCKING) != CUDA_SUCCESS) { t->error = "cuStreamCreate on the prepare thread"; t->done = true; return; } Pair* p = buildPair(*c, t->dir, s, err, true); c->drv.streamDestroy(s); if (p && (p->epochHex != t->epochHex || p->dayHex != t->dayHex)) { err = "the pack in " + t->dir + " is for epoch " + p->epochHex.substr(0, 16) + " day " + p->dayHex + ", not the prepared seeds"; releasePair(*c, p); p = nullptr; } char why[256]; if (p && !pf_pack_class_ok(p->programClass.c_str(), p->eraHex.c_str(), t->wantClass.c_str(), t->wantEra.c_str(), why, sizeof(why))) { err = "pack " + t->dir + ": " + why; releasePair(*c, p); p = nullptr; } t->result = p; t->error = err; t->done = true; } // --------------------------------------------------------------------------------------------- // Serve struct Options { bool serve = false, check = false, raceOnly = false; bool bench = false, memprobe = false; // read-width experiment (5 October 2026) int batches = 5, warps = 0, probeMib = 0; int device = 0, batchLog2 = 22, blockWarps = 1; std::string pack, arch = "auto"; std::string race = "on", pinned, tuningPath; int raceBenchMs = 2000, raceBudgetS = 120, raceRounds = 0; // rounds 0 = 1 in --serve, 3 in --race }; static void usage() { std::printf("igneum-worker-cuda %s\n" " --serve --pack GPU worker for igneum-miner --worker: jobs on stdin, found/done lines on stdout\n" " --check --pack compile the pack, build its cache and dataset, self-test, print timings, exit 0 or 1\n" " --device D CUDA device index (default 0)\n" " --batch-log2 B nonces per dispatch = 2^B (default 22)\n" " --block-warps W warps per thread block (default 1)\n" " --arch sm_XY|compute_XY|auto NVRTC target (default auto: the device's architecture)\n" " --bench --pack read-width experiment: build and self-test the pack, time --batches dispatches of 2^B nonces,\n" " print the 2^B fingerprint at base nonce 0 (one RESULT line); a variant-5 pack runs --warps persistent warps\n" " --memprobe [--probe-mib N] no pack: dependent random 4, 16 and 64-byte reads, independent reads, a coalesced stream and an\n" " integer chain at 4, 64 and 1024 MiB (the same table as igneum-worker-opencl --memprobe)\n" " --batches N --bench: timed dispatches (default 5)\n" " --warps N --bench on a variant-5 pack: persistent warps (default: the occupancy capacity, rounded down to a power of two)\n" " --race --pack the variant race alone (3 rounds): one line per variant, the race line, exit 0 or 1\n" " --race on|off|a,b,c in --serve: race every variant (default), none, or these names\n" " --race-bench-ms N timed window per variant (default 2000)\n" " --race-budget-s N a race stops compiling and timing after this (default 120; base is kept)\n" " --race-rounds N interleaved rounds, best per variant (default 1 in --serve, 3 in --race)\n" " --variant use this variant without a race (also from the tuning file)\n" " --tuning the per-card tuning file (default: IGNEUM_TUNING_FILE from the environment)\n", WORKER_VERSION); } static Options parseArgs(int argc, char** argv) { Options o; for (int i = 1; i < argc; ++i) { std::string a = argv[i]; auto next = [&]() -> std::string { if (i + 1 >= argc) { usage(); std::exit(2); } return argv[++i]; }; if (a == "--serve") o.serve = true; else if (a == "--check") o.check = true; else if (a == "--bench") o.bench = true; else if (a == "--memprobe") o.memprobe = true; else if (a == "--batches") o.batches = std::atoi(next().c_str()); else if (a == "--warps") o.warps = std::atoi(next().c_str()); else if (a == "--probe-mib") o.probeMib = std::atoi(next().c_str()); else if (a == "--race" && (i + 1 >= argc || std::string(argv[i + 1]).rfind("--", 0) == 0)) o.raceOnly = true; else if (a == "--race") o.race = next(); else if (a == "--race-bench-ms") o.raceBenchMs = std::atoi(next().c_str()); else if (a == "--race-budget-s") o.raceBudgetS = std::atoi(next().c_str()); else if (a == "--race-rounds") o.raceRounds = std::atoi(next().c_str()); else if (a == "--variant") o.pinned = next(); else if (a == "--tuning") o.tuningPath = next(); else if (a == "--pack") o.pack = next(); else if (a == "--device") o.device = std::atoi(next().c_str()); else if (a == "--batch-log2") o.batchLog2 = std::atoi(next().c_str()); else if (a == "--block-warps") o.blockWarps = std::atoi(next().c_str()); else if (a == "--arch") o.arch = next(); else if (a == "--no-prepare") { /* accepted for symmetry with the other workers; prepare is always on here */ } else if (a == "-h" || a == "--help") { usage(); std::exit(0); } else { std::printf("unknown argument %s\n", argv[i]); usage(); std::exit(2); } } if (o.batchLog2 < 10 || o.batchLog2 > 28) { std::printf("--batch-log2 must be between 10 and 28\n"); std::exit(2); } if (o.blockWarps < 1 || o.blockWarps > 32) { std::printf("--block-warps must be between 1 and 32\n"); std::exit(2); } if (!o.serve && !o.check && !o.raceOnly && !o.bench && !o.memprobe) { usage(); std::exit(2); } if (o.raceBenchMs < 200 || o.raceBenchMs > 20000) { std::printf("--race-bench-ms must be between 200 and 20000\n"); std::exit(2); } if (o.raceBudgetS < 5 || o.raceBudgetS > 540) { std::printf("--race-budget-s must be between 5 and 540 (the prepare lead is 600 DAA)\n"); std::exit(2); } if (o.raceRounds == 0) o.raceRounds = o.raceOnly ? 3 : 1; if (o.tuningPath.empty()) if (const char* t = std::getenv("IGNEUM_TUNING_FILE")) o.tuningPath = t; if (o.pack.empty() && !o.memprobe) { std::printf("--pack is required (igneum-miner export-pack writes one)\n"); std::exit(2); } while (o.pack.size() > 1 && (o.pack.back() == '/' || o.pack.back() == '\\')) o.pack.pop_back(); return o; } static std::vector split(const std::string& line) { std::vector f; size_t i = 0; while (i < line.size()) { while (i < line.size() && (line[i] == ' ' || line[i] == '\t' || line[i] == '\r')) ++i; size_t j = i; while (j < line.size() && line[j] != ' ' && line[j] != '\t' && line[j] != '\r') ++j; if (j > i) f.push_back(line.substr(i, j - i)); i = j; } return f; } // A pack directory for the given seeds under `root` (one subdirectory per pack, each with seeds.txt), or "". static std::string findPackFor(const std::string& root, const std::string& epochHex, const std::string& dayHex) { if (root.empty()) return ""; std::vector names; #ifdef _WIN32 WIN32_FIND_DATAA fd; HANDLE h = FindFirstFileA((root + "\\*").c_str(), &fd); if (h == INVALID_HANDLE_VALUE) return ""; do { if ((fd.dwFileAttributes & FILE_ATTRIBUTE_DIRECTORY) && fd.cFileName[0] != '.') names.push_back(root + "\\" + fd.cFileName); } while (FindNextFileA(h, &fd)); FindClose(h); #else DIR* d = opendir(root.c_str()); if (!d) return ""; while (dirent* e = readdir(d)) if (e->d_name[0] != '.') names.push_back(root + "/" + e->d_name); closedir(d); #endif for (const std::string& dir : names) { bool ok = false; std::string seeds = readText(dir + "/seeds.txt", ok); if (!ok) continue; char e[65] = {0}, dd[PF_HEX_CAP] = {0}; if (pf_seeds_line(seeds.c_str(), "epoch_seed_hex", e, sizeof(e)) && pf_seeds_line(seeds.c_str(), "day_seed_hex", dd, sizeof(dd)) && epochHex == e && dayHex == dd) return dir; } return ""; } static std::string parentDir(const std::string& p) { size_t i = p.find_last_of("/\\"); return i == std::string::npos ? "." : p.substr(0, i); } static int runServe(Ctx& c, const Options& o, Pair* cur) { const uint32_t batch = 1u << o.batchLog2; CUdeviceptr dOut = 0; std::string err; if (c.drv.memAlloc(&dOut, (size_t)batch * 8u) != CUDA_SUCCESS) { emit("error 0 cuMemAlloc out buffer"); return 2; } std::vector hOut(batch); Pair* prepared = nullptr; Pair* old = nullptr; PrepareTask* task = nullptr; std::string prepareRoot; // the parent of the last prepare's pack directory: where the miner writes its packs emit(fmt("ready cuda %s pack %s dataset-log2 %u batch %u regs %d prepare 1 path nvrtc %d.%d driver %d.%d arch %s variant %s race %s worker %s", c.name.c_str(), cur->seedString.c_str(), cur->datasetLog2, batch, cur->regs, c.rtcMajor, c.rtcMinor, c.driverVersion / 1000, (c.driverVersion % 100) / 10, c.archOpt.c_str(), cur->variant.c_str(), c.race.c_str(), WORKER_VERSION)); info(fmt("first pack %s: %s", cur->dir.c_str(), pairSummary(cur).c_str())); if (!cur->raceLine.empty()) emit(cur->raceLine); std::string line; while (std::getline(std::cin, line)) { if (line == "quit") break; std::vector f = split(line); if (f.empty()) continue; // A finished prepare is reported here, between lines if (task && task->done) { task->thread.join(); if (task->result) { if (prepared) releasePair(c, prepared); prepared = task->result; if (!prepared->raceLine.empty()) emit(prepared->raceLine); emit(fmt("prepared %s %s %.1f %s resident 2 programs 2 datasets", prepared->epochHex.c_str(), prepared->dayHex.c_str(), wallMs() - task->t0, pairSummary(prepared).c_str())); } else { emit(fmt("prepare-failed %s %s %s", task->epochHex.c_str(), task->dayHex.c_str(), task->error.c_str())); } delete task; task = nullptr; } std::string wantClass, wantEra; takeClassTokens(f, wantClass, wantEra); if (f[0] == "prepare") { if (f.size() < 4) { emit(fmt("prepare-failed %s %s a pack directory is needed as the third field (igneum-miner --prepare-packs )", f.size() > 1 ? f[1].c_str() : "0", f.size() > 2 ? f[2].c_str() : "0")); continue; } if (f[1].size() != 64) { emit(fmt("prepare-failed %s %s bad field (epoch_seed 64 hex, day_seed hex)", f[1].c_str(), f[2].c_str())); continue; } if (task) { emit(fmt("prepare-failed %s %s a prepare is still running", f[1].c_str(), f[2].c_str())); continue; } if (prepared && prepared->epochHex == f[1] && prepared->dayHex == f[2]) { emit(fmt("prepared %s %s 0 (already resident)", f[1].c_str(), f[2].c_str())); continue; } if (cur->epochHex == f[1] && cur->dayHex == f[2]) { emit(fmt("prepared %s %s 0 (already the current pair)", f[1].c_str(), f[2].c_str())); continue; } std::string dir = f[3]; for (size_t i = 4; i < f.size(); ++i) dir += " " + f[i]; // a directory with spaces arrives as several fields prepareRoot = parentDir(dir); task = new PrepareTask(); task->epochHex = f[1]; task->dayHex = f[2]; task->dir = dir; task->t0 = wallMs(); task->wantClass = wantClass; task->wantEra = wantEra; task->thread = std::thread(prepareRun, &c, task); info(fmt("prepare started for epoch %.16s day %s from %s (NVRTC %s in the background)", f[1].c_str(), f[2].c_str(), dir.c_str(), c.archOpt.c_str())); continue; } if (f[0] != "job") { info("ignored: " + line); continue; } std::string jobId = f.size() > 1 ? f[1] : "0"; if (f.size() < 8) { emit("error " + jobId + " malformed job line (need 7 fields after job)"); continue; } uint8_t prehash[32], epochSeed[32], daySeed[256]; size_t pl = 0, el = 0, dl = 0; unsigned long long target = 0, nonceStart = 0, nonceCount = 0; if (!pf_unhex(f[2].c_str(), prehash, 32, &pl) || pl != 32 || std::sscanf(f[3].c_str(), "%llx", &target) != 1 || std::sscanf(f[4].c_str(), "%llu", &nonceStart) != 1 || std::sscanf(f[5].c_str(), "%llu", &nonceCount) != 1 || !pf_unhex(f[6].c_str(), epochSeed, 32, &el) || el != 32 || !pf_unhex(f[7].c_str(), daySeed, sizeof(daySeed), &dl)) { emit("error " + jobId + " bad field (prehash 64 hex, target 16 hex, nonce_start u64, nonce_count u64, epoch_seed 64 hex, day_seed hex)"); continue; } if (nonceCount == 0 || nonceCount % 32 != 0 || (nonceStart & 31) != 0) { emit("error " + jobId + " nonce_start must be 32-aligned and nonce_count a non-zero multiple of 32"); continue; } uint32_t sw[8], kw[8]; pf_seed_words_from_bytes(epochSeed, 32, sw); pf_seed_words_from_bytes(daySeed, dl, kw); double t0 = wallMs(); bool switched = false; if (!pairIsClass(cur, f[6], f[7], wantClass, wantEra) && !task && !pairIsClass(prepared, f[6], f[7], wantClass, wantEra)) { // Self-heal: a job on seeds this worker has no pair for and no prepare in flight (a prepare failed, or // the miner never sent one). The miner writes a pack per pair under its --prepare-packs root; find it by // seeds.txt and build it now, in the foreground. The miner only re-sends prepare for the pair after this one. std::string dir = findPackFor(prepareRoot, f[6], f[7]); if (dir.empty()) dir = findPackFor(parentDir(o.pack) + "/prepare", f[6], f[7]); if (dir.empty()) dir = findPackFor(parentDir(o.pack), f[6], f[7]); if (!dir.empty()) { info(fmt("job %s is for epoch %.16s day %s, which is not resident; building its pack %s now (foreground)", jobId.c_str(), f[6].c_str(), f[7].c_str(), dir.c_str())); std::string berr; Pair* p = buildPair(c, dir, nullptr, berr, true); if (p && (p->epochHex != f[6] || p->dayHex != f[7])) { berr = "the pack in " + dir + " is for other seeds"; releasePair(c, p); p = nullptr; } if (p) { if (prepared) releasePair(c, prepared); prepared = p; info(fmt("built %s: %s", dir.c_str(), pairSummary(p).c_str())); if (!p->raceLine.empty()) emit(p->raceLine); } else emit("error " + jobId + " could not build " + dir + ": " + berr); } } if (!pairIsClass(cur, f[6], f[7], wantClass, wantEra)) { char why[256]; if (pairIsClass(prepared, f[6], f[7], wantClass, wantEra)) { if (old) releasePair(c, old); old = cur; cur = prepared; prepared = nullptr; switched = true; info(fmt("switched to the prepared pair epoch %.16s day %s (class %s) in %.2f ms", cur->epochHex.c_str(), cur->dayHex.c_str(), cur->programClass.c_str(), wallMs() - t0)); } else if (pairIs(cur, f[6], f[7]) && !pf_pack_class_ok(cur->programClass.c_str(), cur->eraHex.c_str(), wantClass.c_str(), wantEra.c_str(), why, sizeof(why))) { // Counter ASIC 2.0: right seeds, wrong class or era. The miner prepares the pair again from a pack of // the class the chain is on (the `need` line), and the pack of the other class is never mined. emit(fmt("need %s %s", f[6].c_str(), f[7].c_str())); emit(fmt("error %s pack %s: %s", jobId.c_str(), cur->dir.c_str(), why)); continue; } else if (!hexEq(cur->epochHex, f[6])) { emit(fmt("need %s %s", f[6].c_str(), f[7].c_str())); // the miner prepares this pair (4 October 2026) emit(fmt("error %s epoch seed mismatch: this worker holds epoch %.16s (program words %08x %08x ...)%s, the job is for epoch %.16s (bare seed words %08x %08x ...); send prepare with a pack directory", jobId.c_str(), cur->epochHex.c_str(), cur->sw[0], cur->sw[1], prepared ? " plus one prepared pair" : "", f[6].c_str(), sw[0], sw[1])); continue; } else { emit(fmt("need %s %s", f[6].c_str(), f[7].c_str())); emit(fmt("error %s day seed mismatch: this worker's cache is for key %08x %08x ..., the job's day seed %s gives %08x %08x ...; send prepare with a pack directory", jobId.c_str(), cur->kw[0], cur->kw[1], f[7].c_str(), kw[0], kw[1])); continue; } } uint64_t remaining = nonceCount, hashes = 0; uint32_t hi = (uint32_t)(nonceStart >> 32), lo = (uint32_t)nonceStart; bool failed = false; while (remaining > 0) { uint64_t room = (uint64_t)(0xffffffffu - lo) + 1ull; uint64_t chunk64 = remaining < batch ? remaining : batch; if (chunk64 > room) chunk64 = room; uint32_t chunk = (uint32_t)chunk64; uint32_t iw[8]; { uint8_t b[49]; std::memcpy(b, "igneum-block/", 13); std::memcpy(b + 13, prehash, 32); b[45] = (uint8_t)hi; b[46] = (uint8_t)(hi >> 8); b[47] = (uint8_t)(hi >> 16); b[48] = (uint8_t)(hi >> 24); pf_seed_words_from_bytes(b, 49, iw); } // A chunk that is not a multiple of the block is finished one 32-lane block at a time. The block is the // pair's (its winning variant's). The mutex gives a race its exclusive windows between chunks. std::lock_guard hold(gpuMutex); uint32_t block = 32u * (uint32_t)cur->blockWarps; uint32_t main = chunk - (chunk % block); CUresult r = CUDA_SUCCESS; if (main > 0 && !launchHash(c, cur, dOut, lo, iw, main, block, nullptr, err)) { emit("error " + jobId + " dispatch failed: " + err); failed = true; break; } if (main < chunk) { for (uint32_t off = main; off < chunk && !failed; off += 32u) if (!launchHash(c, cur, dOut + (CUdeviceptr)off * 8u, lo + off, iw, 32u, 32u, nullptr, err)) { emit("error " + jobId + " dispatch failed: " + err); failed = true; } if (failed) break; } r = c.drv.streamSynchronize(nullptr); if (r == CUDA_SUCCESS) r = c.drv.memcpyDtoH(hOut.data(), dOut, (size_t)chunk * 8u); if (r != CUDA_SUCCESS) { emit("error " + jobId + " dispatch failed: " + c.err(r)); failed = true; break; } for (uint32_t i = 0; i < chunk; ++i) if (hOut[i] <= target) { uint64_t nonce = ((uint64_t)hi << 32) | (uint64_t)(uint32_t)(lo + i); std::printf("found %s %llu %016llx\n", jobId.c_str(), (unsigned long long)nonce, (unsigned long long)hOut[i]); } std::fflush(stdout); hashes += chunk; remaining -= chunk; if (chunk64 == room) { hi += 1u; lo = 0u; } else lo += chunk; } if (failed) continue; emit(fmt("done %s %llu %.2f", jobId.c_str(), (unsigned long long)hashes, wallMs() - t0)); if (switched && old) { releasePair(c, old); old = nullptr; info("dropped the previous pair (its program, cache and dataset)"); } } if (task) { task->thread.join(); if (task->result) releasePair(c, task->result); delete task; } c.drv.memFree(dOut); if (old) releasePair(c, old); if (prepared) releasePair(c, prepared); releasePair(c, cur); return 0; } // --------------------------------------------------------------------------------------------- // Main // --------------------------------------------------------------------------------------------- // Read-width experiment (5 October 2026, docs/plans/read-width.md): --bench and --memprobe static uint64_t fnv1a64Bytes(const void* p, size_t n) { const uint8_t* b = (const uint8_t*)p; uint64_t h = 0xcbf29ce484222325ull; for (size_t i = 0; i < n; ++i) { h ^= b[i]; h *= 0x100000001b3ull; } return h; } // --bench: the pair is built and self-tested (vectors through the bound kernel with the seed words); then a warm-up // dispatch at base nonce 0 (fingerprinted) and --batches timed dispatches of 2^B nonces, wall time around // cuStreamSynchronize (the driver API path loads no event symbols; a 2^24 dispatch is 60 to 900 ms on the cards here, // so the launch overhead is under 1 percent). static int runBench(Ctx& c, const Options& o, Pair* p) { uint32_t nonces = 1u << o.batchLog2, block = 32u * (uint32_t)c.blockWarps; if (p->persistent) { uint32_t unit = 32u * (uint32_t)p->warps; nonces = (nonces / unit) * unit; if (nonces == 0) nonces = unit; } CUdeviceptr dOut = 0; std::string err; if (c.drv.memAlloc(&dOut, (size_t)nonces * 8u) != CUDA_SUCCESS) { std::printf("FAIL: cuMemAlloc out\n"); return 2; } std::vector hOut(nonces); double sum = 0, warm = 0; uint64_t fp = 0; for (int b = -1; b < o.batches; ++b) { double t0 = wallMs(); if (!launchHash(c, p, dOut, (uint32_t)(b + 1) * nonces, p->sw, nonces, block, nullptr, err)) { std::printf("FAIL: %s\n", err.c_str()); return 2; } CUresult r = c.drv.streamSynchronize(nullptr); if (r != CUDA_SUCCESS) { std::printf("FAIL: dispatch %d: %s\n", b, c.err(r).c_str()); return 2; } double ms = wallMs() - t0; if (b < 0) { warm = ms; if (c.drv.memcpyDtoH(hOut.data(), dOut, (size_t)nonces * 8u) != CUDA_SUCCESS) { std::printf("FAIL: read-back\n"); return 2; } fp = fnv1a64Bytes(hOut.data(), (size_t)nonces * 8u); } else sum += ms; } c.drv.memFree(dOut); std::string dev = c.name; for (char& ch : dev) if (ch == ' ') ch = '_'; std::printf("warm-up dispatch (base 0): %.2f ms; %d timed dispatches of %u nonces: mean %.2f ms\n", warm, o.batches, nonces, sum / o.batches); std::printf("RESULT pack=%s class=%s device=%s arch=%s regs=%d blocks_per_sm=%d warps=%d resident=%d arena_mib=%llu hot_mib=%u hot_slots=%u hot_fill_ms=%.2f nonces=%u batches=%d check=%s fingerprint=%016llx mhs=%.3f loads=%u bytes=%u scratch_ops=%u time=wall\n", p->dir.c_str(), p->loadClass.c_str(), dev.c_str(), c.archOpt.c_str(), p->regs, p->blocksPerSM, p->warps, p->residentWarps, (unsigned long long)(p->scratchBytes >> 20), p->hotMb, p->hotSlots, p->hotMs, nonces, o.batches, p->checked ? (p->checkPass ? "PASS" : "FAIL") : "skipped", (unsigned long long)fp, (double)nonces * (double)o.batches / (sum / 1000.0) / 1e6, p->loadsPerHash, p->bytesPerHash, p->scratchOps * 8u); return 0; } // --memprobe: the OpenCL worker's table (proto-opencl/host.c, 5 October 2026) in CUDA C through NVRTC, so the two // vendors are probed with the same access patterns: a dependent chain of random 4-byte reads (the hash's pattern), // eight independent chains per lane, dependent random 16-byte and 64-byte reads, a coalesced stream and an integer // chain, at 4, 64 and 1024 MiB. Wall time around cuStreamSynchronize, best of 3, a fresh seed per repetition. static const char* PROBE_CUDA = "#include \n" "__device__ __forceinline__ uint32_t pm_mix(uint32_t x) { x ^= x >> 16; x *= 0x7feb352du; x ^= x >> 15; x *= 0x846ca68bu; x ^= x >> 16; return x; }\n" "extern \"C\" __global__ void probe_fill(uint32_t* ds, uint32_t n) { uint32_t i = blockIdx.x * blockDim.x + threadIdx.x; if (i < n) ds[i] = pm_mix(i ^ 0x9E3779B9u); }\n" "extern \"C\" __global__ void probe_chase(const uint32_t* ds, uint32_t mask, uint32_t steps, uint32_t seed, uint32_t* out) {\n" " uint32_t g = blockIdx.x * blockDim.x + threadIdx.x; uint32_t x = pm_mix(g ^ seed);\n" " for (uint32_t s = 0u; s < steps; ++s) x = ds[x & mask] ^ (x * 0x9E3779B1u + s);\n" " out[g] = x;\n" "}\n" "extern \"C\" __global__ void probe_indep(const uint32_t* ds, uint32_t mask, uint32_t steps, uint32_t seed, uint32_t* out) {\n" " uint32_t g = blockIdx.x * blockDim.x + threadIdx.x;\n" " uint32_t x0 = pm_mix(g * 8u ^ seed), x1 = pm_mix((g * 8u + 1u) ^ seed), x2 = pm_mix((g * 8u + 2u) ^ seed), x3 = pm_mix((g * 8u + 3u) ^ seed);\n" " uint32_t x4 = pm_mix((g * 8u + 4u) ^ seed), x5 = pm_mix((g * 8u + 5u) ^ seed), x6 = pm_mix((g * 8u + 6u) ^ seed), x7 = pm_mix((g * 8u + 7u) ^ seed);\n" " for (uint32_t s = 0u; s < steps; ++s) {\n" " x0 = ds[x0 & mask] ^ (x0 * 0x9E3779B1u + s); x1 = ds[x1 & mask] ^ (x1 * 0x9E3779B1u + s);\n" " x2 = ds[x2 & mask] ^ (x2 * 0x9E3779B1u + s); x3 = ds[x3 & mask] ^ (x3 * 0x9E3779B1u + s);\n" " x4 = ds[x4 & mask] ^ (x4 * 0x9E3779B1u + s); x5 = ds[x5 & mask] ^ (x5 * 0x9E3779B1u + s);\n" " x6 = ds[x6 & mask] ^ (x6 * 0x9E3779B1u + s); x7 = ds[x7 & mask] ^ (x7 * 0x9E3779B1u + s);\n" " }\n" " out[g] = x0 ^ x1 ^ x2 ^ x3 ^ x4 ^ x5 ^ x6 ^ x7;\n" "}\n" "extern \"C\" __global__ void probe_line16(const uint4* ds, uint32_t vecMask, uint32_t steps, uint32_t seed, uint32_t* out) {\n" " uint32_t g = blockIdx.x * blockDim.x + threadIdx.x; uint32_t x = pm_mix(g ^ seed);\n" " for (uint32_t s = 0u; s < steps; ++s) { uint4 a = ds[x & vecMask]; x = (a.x ^ a.y ^ a.z ^ a.w) ^ (x * 0x9E3779B1u + s); }\n" " out[g] = x;\n" "}\n" "extern \"C\" __global__ void probe_line(const uint4* ds, uint32_t lineMask, uint32_t steps, uint32_t seed, uint32_t* out) {\n" " uint32_t g = blockIdx.x * blockDim.x + threadIdx.x; uint32_t x = pm_mix(g ^ seed);\n" " for (uint32_t s = 0u; s < steps; ++s) { uint32_t l = (x & lineMask) * 4u; uint4 a = ds[l], b = ds[l + 1u], c = ds[l + 2u], d = ds[l + 3u]; x = (a.x ^ b.y ^ c.z ^ d.w) ^ (x * 0x9E3779B1u + s); }\n" " out[g] = x;\n" "}\n" "extern \"C\" __global__ void probe_stream(const uint4* ds, uint32_t perLane, uint32_t* out) {\n" " uint32_t g = blockIdx.x * blockDim.x + threadIdx.x, n = gridDim.x * blockDim.x; uint4 acc = make_uint4(0u, 0u, 0u, 0u);\n" " for (uint32_t s = 0u; s < perLane; ++s) { uint4 v = ds[s * n + g]; acc.x ^= v.x; acc.y ^= v.y; acc.z ^= v.z; acc.w ^= v.w; }\n" " out[g] = acc.x ^ acc.y ^ acc.z ^ acc.w;\n" "}\n" "extern \"C\" __global__ void probe_alu(uint32_t steps, uint32_t seed, uint32_t* out) {\n" " uint32_t g = blockIdx.x * blockDim.x + threadIdx.x; uint32_t x = pm_mix(g ^ seed), y = x ^ 0x5bd1e995u;\n" " for (uint32_t s = 0u; s < steps; ++s) { x = x * 0x9E3779B1u + ((y << 7u) | (y >> 25u)); y = (y ^ x) + s; }\n" " out[g] = x ^ y;\n" "}\n"; static double probeLaunch(Ctx& c, CUfunction f, size_t lanes, size_t local, int reps, int seedArg, uint32_t seed, void** args) { double best = -1; for (int r = 0; r < reps; ++r) { uint32_t s = seed + (uint32_t)r * 0x9E3779B9u; if (seedArg >= 0) args[seedArg] = &s; double t0 = wallMs(); if (c.drv.launchKernel(f, (unsigned)(lanes / local), 1, 1, (unsigned)local, 1, 1, 0, nullptr, args, nullptr) != CUDA_SUCCESS) return -1; if (c.drv.streamSynchronize(nullptr) != CUDA_SUCCESS) return -1; double ms = wallMs() - t0; if (best < 0 || ms < best) best = ms; } return best; } static int runMemprobe(Ctx& c, const Options& o) { Compiled cp; std::string err; if (!rtcCompile(c, PROBE_CUDA, "probe.cu", "", "", {}, cp, err)) { std::printf("memprobe: build FAILED: %s\n", err.c_str()); return 2; } CUmodule mod = nullptr; if (c.drv.moduleLoadData(&mod, cp.image.data()) != CUDA_SUCCESS) { std::printf("memprobe: cuModuleLoadData failed\n"); return 2; } CUfunction kFill, kChase, kIndep, kLine16, kLine, kStream, kAlu; const char* names[7] = { "probe_fill", "probe_chase", "probe_indep", "probe_line16", "probe_line", "probe_stream", "probe_alu" }; CUfunction* fns[7] = { &kFill, &kChase, &kIndep, &kLine16, &kLine, &kStream, &kAlu }; for (int i = 0; i < 7; ++i) if (c.drv.moduleGetFunction(fns[i], mod, names[i]) != CUDA_SUCCESS) { std::printf("memprobe: %s not in the module\n", names[i]); return 2; } int sizes[3] = { 4, 64, 1024 }, nSizes = 3; if (o.probeMib > 0) { sizes[0] = o.probeMib; nSizes = 1; } const size_t lanesList[8] = { 256, 1024, 1u << 12, 1u << 14, 1u << 16, 1u << 18, 1u << 20, 1u << 22 }; const size_t groups[2] = { 32, 256 }; const uint32_t STEPS = 256u, ALU_STEPS = 4096u; const size_t maxLanes = 1u << 22; CUdeviceptr dOut = 0; if (c.drv.memAlloc(&dOut, maxLanes * 4u) != CUDA_SUCCESS) { std::printf("memprobe: cuMemAlloc out\n"); return 2; } std::printf("memprobe on %s (sm_%d%d, %d SMs, driver %d.%d, NVRTC %d.%d), wall time around cuStreamSynchronize\n", c.name.c_str(), c.major, c.minor, c.sms, c.driverVersion / 1000, (c.driverVersion % 100) / 10, c.rtcMajor, c.rtcMinor); std::printf("| probe | MiB | block | lanes in flight | steps per lane | best ms | G loads/s | ns per dependent load |\n|---|---|---|---|---|---|---|---|\n"); for (int si = 0; si < nSizes; ++si) { int mib = sizes[si]; uint64_t bytes = (uint64_t)mib << 20; uint32_t words = (uint32_t)(bytes / 4ull), mask = words - 1u, n = words; CUdeviceptr dDs = 0; if (c.drv.memAlloc(&dDs, (size_t)bytes) != CUDA_SUCCESS) { std::printf("| chase | %d | skipped: cuMemAlloc failed | | | | | |\n", mib); continue; } { void* a[2] = { &dDs, &n }; probeLaunch(c, kFill, ((size_t)words + 255) / 256 * 256, 256, 1, -1, 0, a); } for (int gi = 0; gi < 2; ++gi) { size_t local = groups[gi]; for (int li = 0; li < 8; ++li) { size_t lanes = lanesList[li]; if (lanes < local) continue; uint32_t seed = 0x1234567u + (uint32_t)li * 977u, steps = STEPS; void* a[5] = { &dDs, &mask, &steps, &seed, &dOut }; double ms = probeLaunch(c, kChase, lanes, local, 3, 3, seed, a); std::printf("| chase | %d | %zu | %zu | %u | %.3f | %.3f | %.0f |\n", mib, local, lanes, STEPS, ms, (double)lanes * STEPS / (ms / 1000.0) / 1e9, ms * 1e6 / STEPS); std::fflush(stdout); } } for (size_t lanes = 1u << 16; lanes <= maxLanes; lanes <<= 2) { uint32_t seed = 0x7654321u, steps = STEPS; void* a[5] = { &dDs, &mask, &steps, &seed, &dOut }; double ms = probeLaunch(c, kIndep, lanes, 256, 3, 3, seed, a); std::printf("| indep x8 | %d | 256 | %zu | %u | %.3f | %.3f | (8 loads in flight per lane) |\n", mib, lanes, STEPS, ms, (double)lanes * 8.0 * STEPS / (ms / 1000.0) / 1e9); } for (size_t lanes = 1u << 14; lanes <= maxLanes; lanes <<= 2) { uint32_t vecMask = (words / 4u) - 1u, seed = 0x2718281u, steps = STEPS; void* a[5] = { &dDs, &vecMask, &steps, &seed, &dOut }; double ms = probeLaunch(c, kLine16, lanes, 256, 3, 3, seed, a); std::printf("| line 16 B | %d | 256 | %zu | %u | %.3f | %.3f G reads/s | %.1f GB/s in 16 B reads |\n", mib, lanes, STEPS, ms, (double)lanes * STEPS / (ms / 1000.0) / 1e9, (double)lanes * STEPS * 16.0 / (ms / 1000.0) / 1e9); } for (size_t lanes = 1u << 14; lanes <= maxLanes; lanes <<= 2) { uint32_t lineMask = (words / 16u) - 1u, seed = 0x3141592u, steps = STEPS; void* a[5] = { &dDs, &lineMask, &steps, &seed, &dOut }; double ms = probeLaunch(c, kLine, lanes, 256, 3, 3, seed, a); std::printf("| line 64 B | %d | 256 | %zu | %u | %.3f | %.3f G lines/s | %.1f GB/s in lines |\n", mib, lanes, STEPS, ms, (double)lanes * STEPS / (ms / 1000.0) / 1e9, (double)lanes * STEPS * 64.0 / (ms / 1000.0) / 1e9); } { size_t lanes = 1u << 20; uint32_t perLane = (uint32_t)((uint64_t)words / 4ull / (uint64_t)lanes); if (perLane == 0) { perLane = 1; lanes = (size_t)words / 4u; } double bytesRead = (double)perLane * (double)lanes * 16.0; void* a[3] = { &dDs, &perLane, &dOut }; double ms = probeLaunch(c, kStream, lanes, 256, 3, -1, 0, a); std::printf("| stream | %d | 256 | %zu | %u | %.3f | %.1f GB/s coalesced | (%.0f MiB read once) |\n", mib, lanes, perLane, ms, bytesRead / (ms / 1000.0) / 1e9, bytesRead / 1048576.0); } c.drv.memFree(dDs); std::fflush(stdout); } { size_t lanes = 1u << 20; uint32_t seed = 0x2468aceu, steps = ALU_STEPS; void* a[3] = { &steps, &seed, &dOut }; double ms = probeLaunch(c, kAlu, lanes, 256, 3, 1, seed, a); double ops = (double)lanes * ALU_STEPS * 5.0; std::printf("| alu | 0 | 256 | %zu | %u | %.3f | %.1f G int ops/s | %.3f G steps/s per SM (approximate: 5 ops per step counted) |\n", lanes, ALU_STEPS, ms, ops / (ms / 1000.0) / 1e9, (double)lanes * ALU_STEPS / (ms / 1000.0) / 1e9 / (c.sms ? c.sms : 1)); } c.drv.memFree(dOut); c.drv.moduleUnload(mod); std::printf("memprobe: done\n"); return 0; } int main(int argc, char** argv) { Options o = parseArgs(argc, argv); Ctx c; c.blockWarps = o.blockWarps; c.race = o.race; c.raceBenchMs = o.raceBenchMs; c.raceBudgetS = o.raceBudgetS; c.raceRounds = o.raceRounds; c.batchLog2 = o.batchLog2; c.pinned = o.pinned; c.warps = o.warps; c.batches = o.batches; if (o.bench || o.memprobe) c.race = "off"; if (!o.tuningPath.empty()) { bool ok = false; c.tuning = readText(o.tuningPath, ok); if (!ok) c.tuning.clear(); } std::string err, drvLib, rtcLib; if (!loadDriver(c.drv, err, drvLib)) { emit("error 0 " + err); return 2; } if (!loadNvrtc(c.rtc, err, rtcLib)) { emit("error 0 " + err); return 2; } if (!openDevice(c, o.device, o.arch, err)) { emit("error 0 " + err); return 2; } info(fmt("igneum-worker-cuda %s: device %d %s (sm_%d%d, %d SMs), driver %d.%d from %s, NVRTC %d.%d from %s, target %s (%s)", WORKER_VERSION, o.device, c.name.c_str(), c.major, c.minor, c.sms, c.driverVersion / 1000, (c.driverVersion % 100) / 10, drvLib.c_str(), c.rtcMajor, c.rtcMinor, rtcLib.c_str(), c.archOpt.c_str(), c.why.c_str())); if (!c.tuning.empty()) info(fmt("tuning file %s (%zu bytes): %s", o.tuningPath.c_str(), c.tuning.size(), readTuning(c.tuning, c.name).found ? "has an entry for this card" : "no entry for this card")); if (o.memprobe) { int rc = runMemprobe(c, o); c.drv.primaryCtxRelease(c.dev); return rc; } double t0 = wallMs(); Pair* cur = buildPair(c, o.pack, nullptr, err, !o.check && !o.bench); if (!cur) { emit("error 0 " + err); return 1; } if (o.bench) { std::printf("pack %s on %s: %s\n", o.pack.c_str(), c.name.c_str(), pairSummary(cur).c_str()); int rc = runBench(c, o, cur); releasePair(c, cur); c.drv.primaryCtxRelease(c.dev); return rc; } if (o.raceOnly) { std::printf("race %s on %s (%s, %d SMs, driver %d.%d, NVRTC %d.%d, %s): %s\n", o.pack.c_str(), c.name.c_str(), c.archOpt.c_str(), c.sms, c.driverVersion / 1000, (c.driverVersion % 100) / 10, c.rtcMajor, c.rtcMinor, c.why.c_str(), pairSummary(cur).c_str()); std::printf("%s\n", cur->raceLine.c_str()); std::printf("winner %s: %d registers, %d blocks/SM at %d warp(s)/block\n", cur->variant.c_str(), cur->regs, cur->blocksPerSM, cur->blockWarps); releasePair(c, cur); return 0; } if (o.check) { std::printf("check PASS %s in %.0f ms: %s\n", o.pack.c_str(), wallMs() - t0, pairSummary(cur).c_str()); std::printf(" epoch %s day %s, dataset %s words, cache 2^%u words in %u segments, %d registers, %d blocks/SM at %d warp(s)/block, target %s\n", cur->epochHex.c_str(), cur->dayHex.c_str(), (cur->mulshift ? fmt("%u (%u items, multiply-shift)", cur->words, cur->items) : fmt("2^%u", cur->datasetLog2)).c_str(), (unsigned)__builtin_ctz(cur->cacheWords), cur->cacheSegments, cur->regs, cur->blocksPerSM, c.blockWarps, c.archOpt.c_str()); releasePair(c, cur); return 0; } int rc = runServe(c, o, cur); c.drv.primaryCtxRelease(c.dev); return rc; }