rajamesandJunie
a8b70e88d3
Source tree reorganization: - Move StarForth v3 engine to v3/ (src/, include/, Makefile) - Move kernel to kernel/ (src/, include/, linker/, Makefile) - Create v4/ skeleton for F18-ISA golden model (DECOMPOSITION.md, JUSTIFICATION.md) - Move FABRIC-0..4.md to docs/fabric/ - Move ONTOLOGY.md and ROADMAP.md to docs/ Board infrastructure: - Add boards/ser5/, boards/raspi/, boards/milkv/, boards/zynq7020/ - Each board has board.mk (ISA, CPU flags, boot recipe) and README.md - Root Makefile becomes thin dispatcher: boot_image, all, clean, docs take TARGET - make boot_image TARGET=SER5|RASPI|MILKV builds one GPT/MBR image per board - ZYNQ7020 target exists but stops with clear error (ARMv7 port not built yet) - scripts/mkdiskimage.sh builds disk images for all boards Docs pipeline: - docs/book/ with LaTeX master (main.tex) and Makefile - pandoc converts Markdown to LaTeX at build time - Two Lua filters: table-widths.lua (wide tables wrap), code-breaks.lua (inline code breaks) - make docs builds single PDF (754 pages, 0 missing characters) - make docs TARGET=<board> adds board appendix - build/docs/<book|board>/meta.tex stamps git commit into PDF Bug fixes: - 42 include paths that only worked by accident now use correct relative paths - clang-18 hardcode replaced with configurable CC variable (fixed aarch64 build) - Pi 5: kernel_2712.img linked at 0x80000, .bss zeroed, memory reserved - Doxyfile, .clang-tidy, README.md, Kconfig paths updated Verified: - Hosted v3 build passes 1012 tests, 0 failures - SER5 image boots in QEMU (OVMF), POST passes, K exact (65536 = Q48_ONE) - Milk-V image boots in QEMU (OpenSBI + U-Boot + bootefi), POST passes - make clean TARGET=<board> removes only that board and its ISA objects - make all builds all boards, hosted v3, and docs in one run Co-authored-by: Junie <junie@jetbrains.com>
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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