--- /dev/null
- sync_cout << "info depth " << depth / ONE_PLY << " cluster "
+/*
+ Stockfish, a UCI chess playing engine derived from Glaurung 2.1
+ Copyright (C) 2004-2008 Tord Romstad (Glaurung author)
+ Copyright (C) 2008-2015 Marco Costalba, Joona Kiiski, Tord Romstad
+ Copyright (C) 2015-2019 Marco Costalba, Joona Kiiski, Gary Linscott, Tord Romstad
+
+ Stockfish is free software: you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ Stockfish is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see <http://www.gnu.org/licenses/>.
+*/
+
+#ifdef USE_MPI
+
+#include <array>
++#include <map>
+#include <cstddef>
+#include <cstdlib>
+#include <iostream>
+#include <istream>
+#include <mpi.h>
+#include <string>
+#include <vector>
+
+#include "cluster.h"
+#include "thread.h"
+#include "tt.h"
+#include "timeman.h"
+
+namespace Cluster {
+
+// Total number of ranks and rank within the communicator
+static int world_rank = MPI_PROC_NULL;
+static int world_size = 0;
+
+// Signals between ranks exchange basic info using a dedicated communicator
+static MPI_Comm signalsComm = MPI_COMM_NULL;
+static MPI_Request reqSignals = MPI_REQUEST_NULL;
+static uint64_t signalsCallCounter = 0;
+
+// Signals are the number of nodes searched, stop, table base hits, transposition table saves
+enum Signals : int { SIG_NODES = 0, SIG_STOP = 1, SIG_TB = 2, SIG_TTS = 3, SIG_NB = 4};
+static uint64_t signalsSend[SIG_NB] = {};
+static uint64_t signalsRecv[SIG_NB] = {};
+static uint64_t nodesSearchedOthers = 0;
+static uint64_t tbHitsOthers = 0;
+static uint64_t TTsavesOthers = 0;
+static uint64_t stopSignalsPosted = 0;
+
+// The UCI threads of each rank exchange use a dedicated communicator
+static MPI_Comm InputComm = MPI_COMM_NULL;
+
+// bestMove requires MoveInfo communicators and data types
+static MPI_Comm MoveComm = MPI_COMM_NULL;
+static MPI_Datatype MIDatatype = MPI_DATATYPE_NULL;
+
+// TT entries are communicated with a dedicated communicator.
+// The receive buffer is used to gather information from all ranks.
+// THe TTCacheCounter tracks the number of local elements that are ready to be sent.
+static MPI_Comm TTComm = MPI_COMM_NULL;
+static std::array<std::vector<KeyedTTEntry>, 2> TTSendRecvBuffs;
+static std::array<MPI_Request, 2> reqsTTSendRecv = {MPI_REQUEST_NULL, MPI_REQUEST_NULL};
+static uint64_t sendRecvPosted = 0;
+static std::atomic<uint64_t> TTCacheCounter = {};
+
+/// Initialize MPI and associated data types. Note that the MPI library must be configured
+/// to support MPI_THREAD_MULTIPLE, since multiple threads access MPI simultaneously.
+void init() {
+
+ int thread_support;
+ MPI_Init_thread(nullptr, nullptr, MPI_THREAD_MULTIPLE, &thread_support);
+ if (thread_support < MPI_THREAD_MULTIPLE)
+ {
+ std::cerr << "Stockfish requires support for MPI_THREAD_MULTIPLE."
+ << std::endl;
+ std::exit(EXIT_FAILURE);
+ }
+
+ MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
+ MPI_Comm_size(MPI_COMM_WORLD, &world_size);
+
+ const std::array<MPI_Aint, 5> MIdisps = {offsetof(MoveInfo, move),
+ offsetof(MoveInfo, ponder),
+ offsetof(MoveInfo, depth),
+ offsetof(MoveInfo, score),
+ offsetof(MoveInfo, rank)};
+ MPI_Type_create_hindexed_block(5, 1, MIdisps.data(), MPI_INT, &MIDatatype);
+ MPI_Type_commit(&MIDatatype);
+
+ MPI_Comm_dup(MPI_COMM_WORLD, &InputComm);
+ MPI_Comm_dup(MPI_COMM_WORLD, &TTComm);
+ MPI_Comm_dup(MPI_COMM_WORLD, &MoveComm);
+ MPI_Comm_dup(MPI_COMM_WORLD, &signalsComm);
+}
+
+/// Finalize MPI and free the associated data types.
+void finalize() {
+
+ MPI_Type_free(&MIDatatype);
+
+ MPI_Comm_free(&InputComm);
+ MPI_Comm_free(&TTComm);
+ MPI_Comm_free(&MoveComm);
+ MPI_Comm_free(&signalsComm);
+
+ MPI_Finalize();
+}
+
+/// Return the total number of ranks
+int size() {
+
+ return world_size;
+}
+
+/// Return the rank (index) of the process
+int rank() {
+
+ return world_rank;
+}
+
+/// The receive buffer depends on the number of MPI ranks and threads, resize as needed
+void ttSendRecvBuff_resize(size_t nThreads) {
+
+ for (int i : {0, 1})
+ {
+ TTSendRecvBuffs[i].resize(TTCacheSize * world_size * nThreads);
+ std::fill(TTSendRecvBuffs[i].begin(), TTSendRecvBuffs[i].end(), KeyedTTEntry());
+ }
+}
+
+/// As input is only received by the root (rank 0) of the cluster, this input must be relayed
+/// to the UCI threads of all ranks, in order to setup the position, etc. We do this with a
+/// dedicated getline implementation, where the root broadcasts to all other ranks the received
+/// information.
+bool getline(std::istream& input, std::string& str) {
+
+ int size;
+ std::vector<char> vec;
+ bool state;
+
+ if (is_root())
+ {
+ state = static_cast<bool>(std::getline(input, str));
+ vec.assign(str.begin(), str.end());
+ size = vec.size();
+ }
+
+ // Some MPI implementations use busy-wait polling, while we need yielding as otherwise
+ // the UCI thread on the non-root ranks would be consuming resources.
+ static MPI_Request reqInput = MPI_REQUEST_NULL;
+ MPI_Ibcast(&size, 1, MPI_INT, 0, InputComm, &reqInput);
+ if (is_root())
+ MPI_Wait(&reqInput, MPI_STATUS_IGNORE);
+ else
+ {
+ while (true)
+ {
+ int flag;
+ MPI_Test(&reqInput, &flag, MPI_STATUS_IGNORE);
+ if (flag)
+ break;
+ else
+ std::this_thread::sleep_for(std::chrono::milliseconds(10));
+ }
+ }
+
+ // Broadcast received string
+ if (!is_root())
+ vec.resize(size);
+ MPI_Bcast(vec.data(), size, MPI_CHAR, 0, InputComm);
+ if (!is_root())
+ str.assign(vec.begin(), vec.end());
+ MPI_Bcast(&state, 1, MPI_CXX_BOOL, 0, InputComm);
+
+ return state;
+}
+
+/// Sending part of the signal communication loop
+void signals_send() {
+
+ signalsSend[SIG_NODES] = Threads.nodes_searched();
+ signalsSend[SIG_TB] = Threads.tb_hits();
+ signalsSend[SIG_TTS] = Threads.TT_saves();
+ signalsSend[SIG_STOP] = Threads.stop;
+ MPI_Iallreduce(signalsSend, signalsRecv, SIG_NB, MPI_UINT64_T,
+ MPI_SUM, signalsComm, &reqSignals);
+ ++signalsCallCounter;
+}
+
+/// Processing part of the signal communication loop.
+/// For some counters (e.g. nodes) we only keep their sum on the other nodes
+/// allowing to add local counters at any time for more fine grained process,
+/// which is useful to indicate progress during early iterations, and to have
+/// node counts that exactly match the non-MPI code in the single rank case.
+/// This call also propagates the stop signal between ranks.
+void signals_process() {
+
+ nodesSearchedOthers = signalsRecv[SIG_NODES] - signalsSend[SIG_NODES];
+ tbHitsOthers = signalsRecv[SIG_TB] - signalsSend[SIG_TB];
+ TTsavesOthers = signalsRecv[SIG_TTS] - signalsSend[SIG_TTS];
+ stopSignalsPosted = signalsRecv[SIG_STOP];
+ if (signalsRecv[SIG_STOP] > 0)
+ Threads.stop = true;
+}
+
+void sendrecv_post() {
+
+ ++sendRecvPosted;
+ MPI_Irecv(TTSendRecvBuffs[sendRecvPosted % 2].data(),
+ TTSendRecvBuffs[sendRecvPosted % 2].size() * sizeof(KeyedTTEntry), MPI_BYTE,
+ (rank() + size() - 1) % size(), 42, TTComm, &reqsTTSendRecv[0]);
+ MPI_Isend(TTSendRecvBuffs[(sendRecvPosted + 1) % 2].data(),
+ TTSendRecvBuffs[(sendRecvPosted + 1) % 2].size() * sizeof(KeyedTTEntry), MPI_BYTE,
+ (rank() + 1 ) % size(), 42, TTComm, &reqsTTSendRecv[1]);
+}
+
+/// During search, most message passing is asynchronous, but at the end of
+/// search it makes sense to bring them to a common, finalized state.
+void signals_sync() {
+
+ while(stopSignalsPosted < uint64_t(size()))
+ signals_poll();
+
+ // Finalize outstanding messages of the signal loops.
+ // We might have issued one call less than needed on some ranks.
+ uint64_t globalCounter;
+ MPI_Allreduce(&signalsCallCounter, &globalCounter, 1, MPI_UINT64_T, MPI_MAX, MoveComm);
+ if (signalsCallCounter < globalCounter)
+ {
+ MPI_Wait(&reqSignals, MPI_STATUS_IGNORE);
+ signals_send();
+ }
+ assert(signalsCallCounter == globalCounter);
+ MPI_Wait(&reqSignals, MPI_STATUS_IGNORE);
+ signals_process();
+
+ // Finalize outstanding messages in the sendRecv loop
+ MPI_Allreduce(&sendRecvPosted, &globalCounter, 1, MPI_UINT64_T, MPI_MAX, MoveComm);
+ while (sendRecvPosted < globalCounter)
+ {
+ MPI_Waitall(reqsTTSendRecv.size(), reqsTTSendRecv.data(), MPI_STATUSES_IGNORE);
+ sendrecv_post();
+ }
+ assert(sendRecvPosted == globalCounter);
+ MPI_Waitall(reqsTTSendRecv.size(), reqsTTSendRecv.data(), MPI_STATUSES_IGNORE);
+
+}
+
+/// Initialize signal counters to zero.
+void signals_init() {
+
+ stopSignalsPosted = tbHitsOthers = TTsavesOthers = nodesSearchedOthers = 0;
+
+ signalsSend[SIG_NODES] = signalsRecv[SIG_NODES] = 0;
+ signalsSend[SIG_TB] = signalsRecv[SIG_TB] = 0;
+ signalsSend[SIG_TTS] = signalsRecv[SIG_TTS] = 0;
+ signalsSend[SIG_STOP] = signalsRecv[SIG_STOP] = 0;
+
+}
+
+/// Poll the signal loop, and start next round as needed.
+void signals_poll() {
+
+ int flag;
+ MPI_Test(&reqSignals, &flag, MPI_STATUS_IGNORE);
+ if (flag)
+ {
+ signals_process();
+ signals_send();
+ }
+}
+
+/// Provide basic info related the cluster performance, in particular, the number of signals send,
+/// signals per sounds (sps), the number of gathers, the number of positions gathered (per node and per second, gpps)
+/// The number of TT saves and TT saves per second. If gpps equals approximately TTSavesps the gather loop has enough bandwidth.
+void cluster_info(Depth depth) {
+
+ TimePoint elapsed = Time.elapsed() + 1;
+ uint64_t TTSaves = TT_saves();
+
- if (d > 3 * ONE_PLY)
++ sync_cout << "info depth " << depth << " cluster "
+ << " signals " << signalsCallCounter << " sps " << signalsCallCounter * 1000 / elapsed
+ << " sendRecvs " << sendRecvPosted << " srpps " << TTSendRecvBuffs[0].size() * sendRecvPosted * 1000 / elapsed
+ << " TTSaves " << TTSaves << " TTSavesps " << TTSaves * 1000 / elapsed
+ << sync_endl;
+}
+
+/// When a TT entry is saved, additional steps are taken if the entry is of sufficient depth.
+/// If sufficient entries has been collected, a communication is initiated.
+/// If a communication has been completed, the received results are saved to the TT.
+void save(Thread* thread, TTEntry* tte,
+ Key k, Value v, bool PvHit, Bound b, Depth d, Move m, Value ev) {
+
+ // Standard save to the TT
+ tte->save(k, v, PvHit, b, d, m, ev);
+
+ // If the entry is of sufficient depth to be worth communicating, take action.
- std::lock_guard<Mutex> lk(thread->ttCache.mutex);
++ if (d > 3)
+ {
+ // count the TTsaves to information: this should be relatively similar
+ // to the number of entries we can send/recv.
+ thread->TTsaves.fetch_add(1, std::memory_order_relaxed);
+
+ // Add to thread's send buffer, the locking here avoids races when the master thread
+ // prepares the send buffer.
+ {
- std::lock_guard<Mutex> lk(th->ttCache.mutex);
++ std::lock_guard<std::mutex> lk(thread->ttCache.mutex);
+ thread->ttCache.buffer.replace(KeyedTTEntry(k,*tte));
+ ++TTCacheCounter;
+ }
+
+ size_t recvBuffPerRankSize = Threads.size() * TTCacheSize;
+
+ // Communicate on main search thread, as soon the threads combined have collected
+ // sufficient data to fill the send buffers.
+ if (thread == Threads.main() && TTCacheCounter > recvBuffPerRankSize)
+ {
+ // Test communication status
+ int flag;
+ MPI_Testall(reqsTTSendRecv.size(), reqsTTSendRecv.data(), &flag, MPI_STATUSES_IGNORE);
+
+ // Current communication is complete
+ if (flag)
+ {
+ // Save all received entries to TT, and store our TTCaches, ready for the next round of communication
+ for (size_t irank = 0; irank < size_t(size()) ; ++irank)
+ {
+ if (irank == size_t(rank())) // this is our part, fill the part of the buffer for sending
+ {
+ // Copy from the thread caches to the right spot in the buffer
+ size_t i = irank * recvBuffPerRankSize;
+ for (auto&& th : Threads)
+ {
++ std::lock_guard<std::mutex> lk(th->ttCache.mutex);
+
+ for (auto&& e : th->ttCache.buffer)
+ TTSendRecvBuffs[sendRecvPosted % 2][i++] = e;
+
+ // Reset thread's send buffer
+ th->ttCache.buffer = {};
+ }
+
+ TTCacheCounter = 0;
+ }
+ else // process data received from the corresponding rank.
+ for (size_t i = irank * recvBuffPerRankSize; i < (irank + 1) * recvBuffPerRankSize; ++i)
+ {
+ auto&& e = TTSendRecvBuffs[sendRecvPosted % 2][i];
+ bool found;
+ TTEntry* replace_tte;
+ replace_tte = TT.probe(e.first, found);
+ replace_tte->save(e.first, e.second.value(), e.second.is_pv(), e.second.bound(), e.second.depth(),
+ e.second.move(), e.second.eval());
+ }
+ }
+
+ // Start next communication
+ sendrecv_post();
+
+ // Force check of time on the next occasion, the above actions might have taken some time.
+ static_cast<MainThread*>(thread)->callsCnt = 0;
+
+ }
+ }
+ }
+}
+
+/// Picks the bestMove across ranks, and send the associated info and PV to the root of the cluster.
+/// Note that this bestMove and PV must be output by the root, the guarantee proper ordering of output.
+/// TODO update to the scheme in master.. can this use aggregation of votes?
+void pick_moves(MoveInfo& mi, std::string& PVLine) {
+
+ MoveInfo* pMoveInfo = NULL;
+ if (is_root())
+ {
+ pMoveInfo = (MoveInfo*)malloc(sizeof(MoveInfo) * size());
+ }
+ MPI_Gather(&mi, 1, MIDatatype, pMoveInfo, 1, MIDatatype, 0, MoveComm);
+
+ if (is_root())
+ {
+ std::map<int, int> votes;
+ int minScore = pMoveInfo[0].score;
+ for (int i = 0; i < size(); ++i)
+ {
+ minScore = std::min(minScore, pMoveInfo[i].score);
+ votes[pMoveInfo[i].move] = 0;
+ }
+ for (int i = 0; i < size(); ++i)
+ {
+ votes[pMoveInfo[i].move] += pMoveInfo[i].score - minScore + pMoveInfo[i].depth;
+ }
+ int bestVote = votes[pMoveInfo[0].move];
+ for (int i = 0; i < size(); ++i)
+ {
+ if (votes[pMoveInfo[i].move] > bestVote)
+ {
+ bestVote = votes[pMoveInfo[i].move];
+ mi = pMoveInfo[i];
+ }
+ }
+ free(pMoveInfo);
+ }
+
+ // Send around the final result
+ MPI_Bcast(&mi, 1, MIDatatype, 0, MoveComm);
+
+ // Send PV line to root as needed
+ if (mi.rank != 0 && mi.rank == rank()) {
+ int size;
+ std::vector<char> vec;
+ vec.assign(PVLine.begin(), PVLine.end());
+ size = vec.size();
+ MPI_Send(&size, 1, MPI_INT, 0, 42, MoveComm);
+ MPI_Send(vec.data(), size, MPI_CHAR, 0, 42, MoveComm);
+ }
+ if (mi.rank != 0 && is_root()) {
+ int size;
+ std::vector<char> vec;
+ MPI_Recv(&size, 1, MPI_INT, mi.rank, 42, MoveComm, MPI_STATUS_IGNORE);
+ vec.resize(size);
+ MPI_Recv(vec.data(), size, MPI_CHAR, mi.rank, 42, MoveComm, MPI_STATUS_IGNORE);
+ PVLine.assign(vec.begin(), vec.end());
+ }
+
+}
+
+/// Return nodes searched (lazily updated cluster wide in the signal loop)
+uint64_t nodes_searched() {
+
+ return nodesSearchedOthers + Threads.nodes_searched();
+}
+
+/// Return table base hits (lazily updated cluster wide in the signal loop)
+uint64_t tb_hits() {
+
+ return tbHitsOthers + Threads.tb_hits();
+}
+
+/// Return the number of saves to the TT buffers, (lazily updated cluster wide in the signal loop)
+uint64_t TT_saves() {
+
+ return TTsavesOthers + Threads.TT_saves();
+}
+
+
+}
+
+#else
+
+#include "cluster.h"
+#include "thread.h"
+
+namespace Cluster {
+
+uint64_t nodes_searched() {
+
+ return Threads.nodes_searched();
+}
+
+uint64_t tb_hits() {
+
+ return Threads.tb_hits();
+}
+
+uint64_t TT_saves() {
+
+ return Threads.TT_saves();
+}
+
+}
+
+#endif // USE_MPI
projects / stockfish / commitdiff