107 lines
3.4 KiB
C
107 lines
3.4 KiB
C
/*
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StarForth — Steady-State Virtual Machine Runtime
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Copyright (c) 2023–2025 Robert A. James
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All rights reserved.
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This file is part of the StarForth project.
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Licensed under the StarForth License, Version 1.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at:
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https://github.com/star.4th@proton.me/StarForth/LICENSE.txt
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This software is provided "AS IS", WITHOUT WARRANTY OF ANY KIND,
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express or implied, including but not limited to the warranties of
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merchantability, fitness for a particular purpose, and noninfringement.
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See the License for the specific language governing permissions and
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limitations under the License.
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StarForth — Steady-State Virtual Machine Runtime
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Copyright (c) 2023–2025 Robert A. James
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All rights reserved.
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This file is part of the StarForth project.
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Licensed under the StarForth License, Version 1.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at:
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https://github.com/star.4th@proton.me/StarForth/LICENSE.txt
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This software is provided "AS IS", WITHOUT WARRANTY OF ANY KIND,
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express or implied, including but not limited to the warranties of
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merchantability, fitness for a particular purpose, and noninfringement.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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/*
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*** StarForth ***
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dictionary_heat_optimization.h - Phase 2: Heat-Aware Dictionary Lookup
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Inference-driven optimizations for dictionary lookup based on execution heat
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patterns from the Rolling Window of Truth:
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1. Heat percentile thresholds (25th, 50th, 75th)
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2. Bucket reorganization by co-execution patterns
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3. Heat-aware lookup strategy (search hot words first)
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*/
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#ifndef DICTIONARY_HEAT_OPTIMIZATION_H
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#define DICTIONARY_HEAT_OPTIMIZATION_H
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#include "vm.h"
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/**
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* @brief Calculate heat percentile thresholds for all words in dictionary
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*
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* Computes 25th, 50th, 75th percentiles of execution_heat across all
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* dictionary entries. Used to partition lookup search order.
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*/
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void dict_update_heat_percentiles(VM *vm);
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/**
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* @brief Reorganize dictionary buckets by inference-driven priorities
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*
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* Uses rolling window co-execution patterns to reorder words within buckets.
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* Hot/frequently co-executing words are placed first for faster lookup.
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*/
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void dict_reorganize_buckets_by_heat(VM *vm);
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/**
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* @brief Find word with heat-aware search strategy
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*
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* Instead of newest-first, searches buckets in order:
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* 1. Top 25% by heat (likely hits)
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* 2. Middle 50% by heat
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* 3. Bottom 25% (rarely executed)
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*/
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DictEntry *dict_find_word_heat_aware(VM *vm, const char *name, size_t len);
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/**
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* @brief Periodically reoptimize dictionary based on latest heat patterns
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*
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* Called every ~1 second or every N executions to adapt lookup strategy
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* to current workload patterns from rolling window.
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*/
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void dict_adaptive_optimization_pass(VM *vm);
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/* Frequency-class (fc) buckets — shared between dictionary_management.c and
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dictionary_heat_optimization.c. Declared here once to give LTO a single
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canonical type definition and avoid -Werror=lto-type-mismatch. */
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#ifndef SF_FC_BUCKETS
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#define SF_FC_BUCKETS 256
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#endif
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extern DictEntry **sf_fc_list[SF_FC_BUCKETS];
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extern size_t sf_fc_count[SF_FC_BUCKETS];
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extern size_t sf_fc_cap[SF_FC_BUCKETS];
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#endif /* DICTIONARY_HEAT_OPTIMIZATION_H */
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