2020-02-26 18:28:58 +00:00
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/*
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This file is part of solidity.
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solidity 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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solidity 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 solidity. If not, see <http://www.gnu.org/licenses/>.
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*/
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2020-07-17 14:54:12 +00:00
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// SPDX-License-Identifier: GPL-3.0
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2020-02-26 18:28:58 +00:00
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#pragma once
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#include <tools/yulPhaser/Program.h>
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2020-02-29 21:13:49 +00:00
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#include <libyul/optimiser/Metrics.h>
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2021-05-17 09:48:48 +00:00
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#include <cstddef>
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2020-02-26 18:28:58 +00:00
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#include <map>
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#include <string>
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namespace solidity::phaser
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{
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/**
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* Structure used by @a ProgramCache to store intermediate programs and metadata associated
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* with them.
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*/
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struct CacheEntry
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{
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Program program;
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size_t roundNumber;
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CacheEntry(Program _program, size_t _roundNumber):
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program(std::move(_program)),
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roundNumber(_roundNumber) {}
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};
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2020-02-29 00:53:11 +00:00
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/**
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* Stores statistics about current cache usage.
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*/
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struct CacheStats
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{
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2020-02-29 21:13:49 +00:00
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/// Weights used to compute totalCodeSize.
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/// The goal here is to get a result proportional to the amount of memory taken by the AST.
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/// Each statement/expression gets 1 just for existing. We add more if it contains any extra
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/// data that won't be visited separately by ASTWalker.
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static yul::CodeWeights constexpr StorageWeights = {
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/* expressionStatementCost = */ 1,
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/* assignmentCost = */ 1,
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/* variableDeclarationCost = */ 1,
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/* functionDefinitionCost = */ 1,
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/* ifCost = */ 1,
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/* switchCost = */ 1,
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/* caseCost = */ 1,
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/* forLoopCost = */ 1,
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/* breakCost = */ 1,
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/* continueCost = */ 1,
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/* leaveCost = */ 1,
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/* blockCost = */ 1,
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/* functionCallCost = */ 1,
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/* identifierCost = */ 1,
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/* literalCost = */ 1,
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};
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2020-02-29 00:53:11 +00:00
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size_t hits;
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size_t misses;
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size_t totalCodeSize;
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std::map<size_t, size_t> roundEntryCounts;
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CacheStats& operator+=(CacheStats const& _other);
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CacheStats operator+(CacheStats const& _other) const { return CacheStats(*this) += _other; }
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bool operator==(CacheStats const& _other) const;
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bool operator!=(CacheStats const& _other) const { return !(*this == _other); }
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};
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2020-02-26 18:28:58 +00:00
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/**
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* Class that optimises programs one step at a time which allows it to store and later reuse the
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* results of the intermediate steps.
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*
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* The cache keeps track of the current round number and associates newly created entries with it.
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* @a startRound() must be called at the beginning of a round so that entries that are too old
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* can be purged. The current strategy is to store programs corresponding to all possible prefixes
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* encountered in the current and the previous rounds. Entries older than that get removed to
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* conserve memory.
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*
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2020-02-29 00:53:11 +00:00
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* @a gatherStats() allows getting statistics useful for determining cache effectiveness.
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*
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2020-02-26 18:28:58 +00:00
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* The current strategy does speed things up (about 4:1 hit:miss ratio observed in my limited
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* experiments) but there's room for improvement. We could fit more useful programs in
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* the cache by being more picky about which ones we choose.
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*
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* There is currently no way to purge entries without starting a new round. Since the programs
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* take a lot of memory, this may lead to the cache eating up all the available RAM if sequences are
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* long and programs large. A limiter based on entry count or total program size would be useful.
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*/
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class ProgramCache
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{
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public:
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explicit ProgramCache(Program _program):
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m_program(std::move(_program)) {}
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Program optimiseProgram(
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std::string const& _abbreviatedOptimisationSteps,
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size_t _repetitionCount = 1
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);
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void startRound(size_t _nextRoundNumber);
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void clear();
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size_t size() const { return m_entries.size(); }
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Program const* find(std::string const& _abbreviatedOptimisationSteps) const;
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bool contains(std::string const& _abbreviatedOptimisationSteps) const { return find(_abbreviatedOptimisationSteps) != nullptr; }
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2020-02-29 00:53:11 +00:00
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CacheStats gatherStats() const;
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2020-11-11 21:55:38 +00:00
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std::map<std::string, CacheEntry> const& entries() const { return m_entries; }
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2020-02-26 18:28:58 +00:00
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Program const& program() const { return m_program; }
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size_t currentRound() const { return m_currentRound; }
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private:
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size_t calculateTotalCachedCodeSize() const;
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std::map<size_t, size_t> countRoundEntries() const;
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2020-02-26 18:28:58 +00:00
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// The best matching data structure here would be a trie of chromosome prefixes but since
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// the programs are orders of magnitude larger than the prefixes, it does not really matter.
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// A map should be good enough.
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std::map<std::string, CacheEntry> m_entries;
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Program m_program;
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size_t m_currentRound = 0;
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size_t m_hits = 0;
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size_t m_misses = 0;
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2020-02-26 18:28:58 +00:00
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};
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}
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