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https://github.com/opelly27/Stockfish.git
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ecc5ff6693
Start all threads searching on root position and use only the shared TT table as synching scheme. It seems this scheme scales better than YBWC for high number of threads. Verified for nor regression at STC 3 threads LLR: -2.95 (-2.94,2.94) [-3.00,1.00] Total: 40232 W: 6908 L: 7130 D: 26194 Verified for nor regression at LTC 3 threads LLR: 2.95 (-2.94,2.94) [-3.00,1.00] Total: 28186 W: 3908 L: 3798 D: 20480 Verified for nor regression at STC 7 threads LLR: 2.95 (-2.94,2.94) [-3.00,1.00] Total: 3607 W: 674 L: 526 D: 2407 Verified for nor regression at LTC 7 threads LLR: 2.95 (-2.94,2.94) [-3.00,1.00] Total: 4235 W: 671 L: 528 D: 3036 Tested with fixed games at LTC with 20 threads ELO: 44.75 +-7.6 (95%) LOS: 100.0% Total: 2069 W: 407 L: 142 D: 1520 Tested with fixed games at XLTC (120secs) with 20 threads ELO: 28.01 +-6.7 (95%) LOS: 100.0% Total: 2275 W: 349 L: 166 D: 1760 Original patch of mbootsector, with additional work from Ivan Ivec (log formula), Joerg Oster (id loop simplification) and Marco Costalba (assorted formatting and rework). Bench: 8116244
119 lines
3.9 KiB
C++
119 lines
3.9 KiB
C++
/*
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Stockfish, a UCI chess playing engine derived from Glaurung 2.1
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Copyright (C) 2004-2008 Tord Romstad (Glaurung author)
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Copyright (C) 2008-2015 Marco Costalba, Joona Kiiski, Tord Romstad
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Stockfish 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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Stockfish 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 this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef MOVEPICK_H_INCLUDED
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#define MOVEPICK_H_INCLUDED
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#include <algorithm> // For std::max
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#include <cstring> // For std::memset
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#include "movegen.h"
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#include "position.h"
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#include "search.h"
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#include "types.h"
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/// The Stats struct stores moves statistics. According to the template parameter
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/// the class can store History and Countermoves. History records how often
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/// different moves have been successful or unsuccessful during the current search
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/// and is used for reduction and move ordering decisions.
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/// Countermoves store the move that refute a previous one. Entries are stored
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/// using only the moving piece and destination square, hence two moves with
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/// different origin but same destination and piece will be considered identical.
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template<typename T>
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struct Stats {
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static const Value Max = Value(1<<28);
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const T* operator[](Piece pc) const { return table[pc]; }
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T* operator[](Piece pc) { return table[pc]; }
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void clear() { std::memset(table, 0, sizeof(table)); }
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void update(Piece pc, Square to, Move m) {
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if (m != table[pc][to])
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table[pc][to] = m;
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}
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void updateH(Piece pc, Square to, Value v) {
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if (abs(int(v)) >= 324)
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return;
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table[pc][to] -= table[pc][to] * abs(int(v)) / 324;
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table[pc][to] += int(v) * 32;
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}
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void updateCMH(Piece pc, Square to, Value v) {
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if (abs(int(v)) >= 324)
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return;
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table[pc][to] -= table[pc][to] * abs(int(v)) / 512;
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table[pc][to] += int(v) * 64;
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}
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private:
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T table[PIECE_NB][SQUARE_NB];
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};
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typedef Stats<Value> HistoryStats;
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typedef Stats<Move> MovesStats;
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typedef Stats<HistoryStats> CounterMovesHistoryStats;
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/// MovePicker class is used to pick one pseudo legal move at a time from the
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/// current position. The most important method is next_move(), which returns a
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/// new pseudo legal move each time it is called, until there are no moves left,
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/// when MOVE_NONE is returned. In order to improve the efficiency of the alpha
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/// beta algorithm, MovePicker attempts to return the moves which are most likely
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/// to get a cut-off first.
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class MovePicker {
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public:
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MovePicker(const MovePicker&) = delete;
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MovePicker& operator=(const MovePicker&) = delete;
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MovePicker(const Position&, Move, Depth, const HistoryStats&, const CounterMovesHistoryStats&, Square);
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MovePicker(const Position&, Move, const HistoryStats&, const CounterMovesHistoryStats&, Value);
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MovePicker(const Position&, Move, Depth, const HistoryStats&, const CounterMovesHistoryStats&, Move, Search::Stack*);
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Move next_move();
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private:
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template<GenType> void score();
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void generate_next_stage();
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ExtMove* begin() { return moves; }
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ExtMove* end() { return endMoves; }
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const Position& pos;
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const HistoryStats& history;
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const CounterMovesHistoryStats& counterMovesHistory;
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Search::Stack* ss;
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Move countermove;
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Depth depth;
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Move ttMove;
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ExtMove killers[3];
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Square recaptureSquare;
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Value threshold;
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int stage;
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ExtMove *endQuiets, *endBadCaptures = moves + MAX_MOVES - 1;
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ExtMove moves[MAX_MOVES], *cur = moves, *endMoves = moves;
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};
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#endif // #ifndef MOVEPICK_H_INCLUDED
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