mirror of
https://git.wownero.com/wownero/RandomWOW.git
synced 2024-12-22 15:58:53 +00:00
bfd557dac5
Fixed undefined initial rounding mode
350 lines
12 KiB
C++
350 lines
12 KiB
C++
/*
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Copyright (c) 2018 tevador
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This file is part of RandomX.
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RandomX is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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RandomX is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with RandomX. If not, see<http://www.gnu.org/licenses/>.
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*/
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//#define TRACE
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#include "InterpretedVirtualMachine.hpp"
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#include "CompiledVirtualMachine.hpp"
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#include "AssemblyGeneratorX86.hpp"
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#include "Stopwatch.hpp"
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#include "blake2/blake2.h"
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#include <fstream>
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#include <iostream>
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#include <iomanip>
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#include <exception>
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#include <cstring>
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#include "Program.hpp"
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#include <string>
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#include <thread>
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#include <atomic>
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#include "dataset.hpp"
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#include "Cache.hpp"
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#include "hashAes1Rx4.hpp"
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const uint8_t seed[32] = { 191, 182, 222, 175, 249, 89, 134, 104, 241, 68, 191, 62, 162, 166, 61, 64, 123, 191, 227, 193, 118, 60, 188, 53, 223, 133, 175, 24, 123, 230, 55, 74 };
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const uint8_t blockTemplate__[] = {
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0x07, 0x07, 0xf7, 0xa4, 0xf0, 0xd6, 0x05, 0xb3, 0x03, 0x26, 0x08, 0x16, 0xba, 0x3f, 0x10, 0x90, 0x2e, 0x1a, 0x14,
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0x5a, 0xc5, 0xfa, 0xd3, 0xaa, 0x3a, 0xf6, 0xea, 0x44, 0xc1, 0x18, 0x69, 0xdc, 0x4f, 0x85, 0x3f, 0x00, 0x2b, 0x2e,
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0xea, 0x00, 0x00, 0x00, 0x00, 0x77, 0xb2, 0x06, 0xa0, 0x2c, 0xa5, 0xb1, 0xd4, 0xce, 0x6b, 0xbf, 0xdf, 0x0a, 0xca,
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0xc3, 0x8b, 0xde, 0xd3, 0x4d, 0x2d, 0xcd, 0xee, 0xf9, 0x5c, 0xd2, 0x0c, 0xef, 0xc1, 0x2f, 0x61, 0xd5, 0x61, 0x09
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};
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void dump(const char* buffer, uint64_t count, const char* name) {
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std::ofstream fout(name, std::ios::out | std::ios::binary);
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fout.write(buffer, count);
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fout.close();
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}
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constexpr char hexmap[] = "0123456789abcdef";
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void outputHex(std::ostream& os, const char* data, int length) {
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for (int i = 0; i < length; ++i) {
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os << hexmap[(data[i] & 0xF0) >> 4];
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os << hexmap[data[i] & 0x0F];
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}
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}
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void readOption(const char* option, int argc, char** argv, bool& out) {
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for (int i = 0; i < argc; ++i) {
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if (strcmp(argv[i], option) == 0) {
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out = true;
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return;
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}
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}
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out = false;
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}
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void readIntOption(const char* option, int argc, char** argv, int& out, int defaultValue) {
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for (int i = 0; i < argc - 1; ++i) {
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if (strcmp(argv[i], option) == 0 && (out = atoi(argv[i + 1])) > 0) {
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return;
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}
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}
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out = defaultValue;
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}
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void readInt(int argc, char** argv, int& out, int defaultValue) {
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for (int i = 0; i < argc; ++i) {
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if (*argv[i] != '-' && (out = atoi(argv[i])) > 0) {
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return;
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}
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}
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out = defaultValue;
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}
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class AtomicHash {
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public:
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AtomicHash() {
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for (int i = 0; i < 4; ++i)
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hash[i].store(0);
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}
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void xorWith(uint64_t update[4]) {
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for (int i = 0; i < 4; ++i)
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hash[i].fetch_xor(update[i]);
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}
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void print(std::ostream& os) {
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for (int i = 0; i < 4; ++i)
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print(hash[i], os);
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os << std::endl;
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}
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private:
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static void print(std::atomic<uint64_t>& hash, std::ostream& os) {
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auto h = hash.load();
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outputHex(std::cout, (char*)&h, sizeof(h));
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}
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std::atomic<uint64_t> hash[4];
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};
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void printUsage(const char* executable) {
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std::cout << "Usage: " << executable << " [OPTIONS]" << std::endl;
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std::cout << "Supported options:" << std::endl;
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std::cout << " --help shows this message" << std::endl;
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std::cout << " --mine mining mode: 4 GiB dataset, x86-64 compiled VM" << std::endl;
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std::cout << " (default: portable verification mode)" << std::endl;
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std::cout << " --largePages use large pages" << std::endl;
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std::cout << " --softAes use software AES (default: x86 AES-NI)" << std::endl;
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std::cout << " --threads T use T threads (default: 1)" << std::endl;
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std::cout << " --nonces N run N nonces (default: 1000)" << std::endl;
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std::cout << " --genAsm generate x86-64 asm code for nonce N" << std::endl;
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std::cout << " --genNative generate RandomX code for nonce N" << std::endl;
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}
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template<bool softAes>
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void generateAsm(int nonce) {
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alignas(16) uint64_t hash[8];
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uint8_t blockTemplate[sizeof(blockTemplate__)];
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memcpy(blockTemplate, blockTemplate__, sizeof(blockTemplate));
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int* noncePtr = (int*)(blockTemplate + 39);
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*noncePtr = nonce;
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blake2b(hash, sizeof(hash), blockTemplate, sizeof(blockTemplate), nullptr, 0);
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uint8_t scratchpad[RandomX::ScratchpadSize];
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fillAes1Rx4<softAes>((void*)hash, RandomX::ScratchpadSize, scratchpad);
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RandomX::AssemblyGeneratorX86 asmX86;
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RandomX::Program p;
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fillAes1Rx4<softAes>(hash, sizeof(p), &p);
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asmX86.generateProgram(p);
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asmX86.printCode(std::cout);
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}
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template<bool softAes>
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void generateNative(int nonce) {
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alignas(16) uint64_t hash[8];
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uint8_t blockTemplate[sizeof(blockTemplate__)];
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memcpy(blockTemplate, blockTemplate__, sizeof(blockTemplate));
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int* noncePtr = (int*)(blockTemplate + 39);
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*noncePtr = nonce;
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blake2b(hash, sizeof(hash), blockTemplate, sizeof(blockTemplate), nullptr, 0);
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uint8_t scratchpad[RandomX::ScratchpadSize];
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fillAes1Rx4<softAes>((void*)hash, RandomX::ScratchpadSize, scratchpad);
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alignas(16) RandomX::Program prog;
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fillAes1Rx4<softAes>((void*)hash, sizeof(prog), &prog);
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for (int i = 0; i < RandomX::ProgramLength; ++i) {
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prog(i).dst %= 8;
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prog(i).src %= 8;
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}
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std::cout << prog << std::endl;
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}
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template<bool softAes>
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void mine(RandomX::VirtualMachine* vm, std::atomic<int>& atomicNonce, AtomicHash& result, int noncesCount, int thread, uint8_t* scratchpad) {
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alignas(16) uint64_t hash[8];
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uint8_t blockTemplate[sizeof(blockTemplate__)];
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memcpy(blockTemplate, blockTemplate__, sizeof(blockTemplate));
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int* noncePtr = (int*)(blockTemplate + 39);
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int nonce = atomicNonce.fetch_add(1);
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while (nonce < noncesCount) {
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//std::cout << "Thread " << thread << " nonce " << nonce << std::endl;
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*noncePtr = nonce;
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blake2b(hash, sizeof(hash), blockTemplate, sizeof(blockTemplate), nullptr, 0);
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fillAes1Rx4<softAes>((void*)hash, RandomX::ScratchpadSize, scratchpad);
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vm->resetRoundingMode();
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vm->setScratchpad(scratchpad);
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//dump((char*)((RandomX::CompiledVirtualMachine*)vm)->getProgram(), RandomX::CodeSize, "code-1337-jmp.txt");
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for (int chain = 0; chain < RandomX::ChainLength - 1; ++chain) {
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fillAes1Rx4<softAes>((void*)hash, sizeof(RandomX::Program), vm->getProgramBuffer());
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vm->initialize();
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vm->execute();
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vm->getResult<false>(nullptr, 0, hash);
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}
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fillAes1Rx4<softAes>((void*)hash, sizeof(RandomX::Program), vm->getProgramBuffer());
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vm->initialize();
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vm->execute();
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/*if (RandomX::trace) {
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for (int j = 0; j < RandomX::ProgramLength; ++j) {
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uint64_t res = *(uint64_t*)(scratchpad + 8 * (RandomX::ProgramLength - 1 - j));
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std::cout << std::hex << std::setw(16) << std::setfill('0') << res << std::endl;
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}
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}*/
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vm->getResult<softAes>(scratchpad, RandomX::ScratchpadSize, hash);
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result.xorWith(hash);
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if (RandomX::trace) {
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std::cout << "Nonce: " << nonce << " ";
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outputHex(std::cout, (char*)hash, 16);
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std::cout << std::endl;
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}
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nonce = atomicNonce.fetch_add(1);
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}
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}
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int main(int argc, char** argv) {
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bool softAes, genAsm, miningMode, help, largePages, async, genNative;
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int programCount, threadCount;
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readOption("--help", argc, argv, help);
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if (help) {
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printUsage(argv[0]);
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return 0;
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}
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readOption("--softAes", argc, argv, softAes);
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readOption("--genAsm", argc, argv, genAsm);
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readOption("--mine", argc, argv, miningMode);
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readIntOption("--threads", argc, argv, threadCount, 1);
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readIntOption("--nonces", argc, argv, programCount, 1000);
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readOption("--largePages", argc, argv, largePages);
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readOption("--async", argc, argv, async);
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readOption("--genNative", argc, argv, genNative);
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if (genAsm) {
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if (softAes)
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generateAsm<true>(programCount);
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else
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generateAsm<false>(programCount);
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return 0;
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}
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if (genNative) {
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if (softAes)
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generateNative<true>(programCount);
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else
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generateNative<false>(programCount);
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return 0;
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}
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if (softAes)
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std::cout << "Using software AES." << std::endl;
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std::atomic<int> atomicNonce(0);
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AtomicHash result;
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std::vector<RandomX::VirtualMachine*> vms;
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std::vector<std::thread> threads;
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RandomX::dataset_t dataset;
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std::cout << "RandomX - " << (miningMode ? "mining" : "verification") << " mode" << std::endl;
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std::cout << "Initializing..." << std::endl;
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try {
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Stopwatch sw(true);
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if (softAes) {
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RandomX::datasetInitCache<true>(seed, dataset, largePages);
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}
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else {
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RandomX::datasetInitCache<false>(seed, dataset, largePages);
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}
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if (RandomX::trace) {
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std::cout << "Keys: " << std::endl;
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for (unsigned i = 0; i < dataset.cache->getKeys().size(); ++i) {
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outputHex(std::cout, (char*)&dataset.cache->getKeys()[i], sizeof(__m128i));
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}
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std::cout << std::endl;
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std::cout << "Cache: " << std::endl;
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outputHex(std::cout, (char*)dataset.cache->getCache(), sizeof(__m128i));
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std::cout << std::endl;
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}
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if (!miningMode) {
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std::cout << "Cache (256 MiB) initialized in " << sw.getElapsed() << " s" << std::endl;
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}
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else {
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RandomX::Cache* cache = dataset.cache;
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RandomX::datasetAlloc(dataset, largePages);
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if (threadCount > 1) {
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auto perThread = RandomX::DatasetBlockCount / threadCount;
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auto remainder = RandomX::DatasetBlockCount % threadCount;
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for (int i = 0; i < threadCount; ++i) {
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auto count = perThread + (i == threadCount - 1 ? remainder : 0);
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threads.push_back(std::thread(&RandomX::datasetInit, cache, dataset, i * perThread, count));
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}
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for (unsigned i = 0; i < threads.size(); ++i) {
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threads[i].join();
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}
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}
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else {
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RandomX::datasetInit(cache, dataset, 0, RandomX::DatasetBlockCount);
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}
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RandomX::Cache::dealloc(cache, largePages);
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threads.clear();
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std::cout << "Dataset (4 GiB) initialized in " << sw.getElapsed() << " s" << std::endl;
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}
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std::cout << "Initializing " << threadCount << " virtual machine(s)..." << std::endl;
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for (int i = 0; i < threadCount; ++i) {
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RandomX::VirtualMachine* vm;
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if (miningMode) {
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vm = new RandomX::CompiledVirtualMachine();
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}
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else {
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vm = new RandomX::InterpretedVirtualMachine(softAes, async);
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}
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vm->setDataset(dataset);
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vms.push_back(vm);
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}
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uint8_t* scratchpadMem;
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if (largePages) {
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scratchpadMem = (uint8_t*)allocLargePagesMemory(threadCount * RandomX::ScratchpadSize);
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}
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else {
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scratchpadMem = (uint8_t*)_mm_malloc(threadCount * RandomX::ScratchpadSize, RandomX::CacheLineSize);
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}
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std::cout << "Running benchmark (" << programCount << " nonces) ..." << std::endl;
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sw.restart();
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if (threadCount > 1) {
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for (unsigned i = 0; i < vms.size(); ++i) {
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if (softAes)
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threads.push_back(std::thread(&mine<true>, vms[i], std::ref(atomicNonce), std::ref(result), programCount, i, scratchpadMem + RandomX::ScratchpadSize * i));
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else
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threads.push_back(std::thread(&mine<false>, vms[i], std::ref(atomicNonce), std::ref(result), programCount, i, scratchpadMem + RandomX::ScratchpadSize * i));
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}
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for (unsigned i = 0; i < threads.size(); ++i) {
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threads[i].join();
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}
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}
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else {
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if(softAes)
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mine<true>(vms[0], std::ref(atomicNonce), std::ref(result), programCount, 0, scratchpadMem);
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else
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mine<false>(vms[0], std::ref(atomicNonce), std::ref(result), programCount, 0, scratchpadMem);
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if (miningMode)
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std::cout << "Average program size: " << ((RandomX::CompiledVirtualMachine*)vms[0])->getTotalSize() / programCount / RandomX::ChainLength << std::endl;
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}
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double elapsed = sw.getElapsed();
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std::cout << "Calculated result: ";
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result.print(std::cout);
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if(programCount == 1000)
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std::cout << "Reference result: fe31e8fd7ed1cec773e87c0684b66b38e58b23ab255e8f9c6b62745e43a26851" << std::endl;
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if (!miningMode) {
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std::cout << "Performance: " << 1000 * elapsed / programCount << " ms per hash" << std::endl;
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}
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else {
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std::cout << "Performance: " << programCount / elapsed << " hashes per second" << std::endl;
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}
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}
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catch (std::exception& e) {
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std::cout << "ERROR: " << e.what() << std::endl;
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return 1;
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}
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return 0;
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} |