97e53d44f8
feat(hw/sim): distinguish query-only and end-to-end performance cycles in retrieval benchmark
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Add explicit separation between query-only cycles (accept→last) and end-to-end cycles
(load + write + noise + queries) in hardware retrieval benchmarks.
- Add query_only_cycles_per_query, load_write_noise_cycles, end_to_end_cycles metrics
- Refactor summarize_query_timings() to use accept_to_last_result_cycles as query-only base
- Add build_hardware_performance() to compute end-to-end performance separately
- Add current_sim_cycle() helper using cocotb get_sim_time
- Update CSV/Markdown outputs and RETRIEVAL_PERF_RESULT log format
- Update documentation to clarify cycle-counting methodology
- Update tests to cover new performance measurement logic
2026-05-29 18:49:05 +08:00
42d4a9728d
feat: add hardware retrieval cycle performance measurement
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Add cycle-level performance measurement for hardware CAM retrieval benchmarks
to complement existing quality metrics.
- Add query_topk_once_with_latency with accept→first/last cycle timing
- Add QueryTiming dataclass and summarize_query_timings helper
- Integrate cycle performance into benchmark outputs (CSV + Markdown)
- Log RETRIEVAL_PERF_RESULT with cycles/query and queries/cycle
- Update experiment docs with hardware cycle performance section
- Add unit tests for summarize_query_timings and output writers
2026-05-28 13:05:34 +08:00
7cb6257531
feat(benchmarks): add noise injection experiment support to CAM retrieval benchmark
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- Remove hard assertion blocking WRITE_NOISE_EN=1 in retrieval benchmark tests
- Add conditional exact_match assertion: enforces 100% when noise=off, skips when noise=on
- New script run_retrieval_noise_sweep.py: sweeps noise 0–100% (step 10%) and produces markdown summary
- Add just recipes: cam-benchmark-retrieval-sweep, cam-benchmark-sweep-cifar10, cam-benchmark-sweep-cifar100
- Add rsync-based remote sync commands for outputs and docs
2026-05-27 19:04:25 +08:00
8b4d4c1b57
refactor(cam): remove read noise from noise architecture (Phase 2)
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- Make cam_read_noise a pass-through module, removing all noise injection logic
- Switch write noise to use noise_mask_bernoulli instead of noise_mask_grouped
- Add state machine to cam_write_noise for mask generation timing
- Remove noise_mask_grouped.sv (no longer needed)
- Remove read noise parameters from cam_noisy and cam_top
- Update simulation and benchmark code to reflect read noise removal
- Sync documentation to reflect Phase 2 architecture
2026-05-26 23:45:52 +08:00
1ff9a5f18b
feat(retrieval-benchmark): add support for external pre-prepared CAM retrieval datasets with recall@k metric
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- Add just recipes for preparing CIFAR10/100 hash artifacts and running benchmarks
- Add CAM_RETRIEVAL_DATASET env var support in Makefile
- Add load_retrieval_dataset_npz() to load pre-prepared retrieval datasets
- Add label_hits counter and recall@k metric for retrieval evaluation
- Rename macro_recall to retrieval_recall to clarify semantics
2026-05-22 21:07:10 +08:00
e1bed00cc4
feat(retrieval): add CAM retrieval benchmark with topk scoring and read noise support
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- Add cocotb benchmark infrastructure under hw/sim/benchmarks/retrieval/ with Makefile
- Implement test_retrieval_benchmark.py supporting configurable topk-k, read/write noise
- Add cluster-based synthetic dataset generator with configurable bit-flip rates
- Add reference model functions: match_topk, match_topk_from_scores, score_rows_with_read_noise
- Add .justfile shortcuts: cam-test-retrieval-no-noise, cam-test-retrieval-read-noise
- Add TOPK_K to Verilator EXTRA_ARGS via cocotb-common.mk
- Add unit tests for topk sorting logic and stateful read-noise scoring
2026-05-22 19:04:54 +08:00
