97e53d44f8
feat(hw/sim): distinguish query-only and end-to-end performance cycles in retrieval benchmark
...
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
...
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
acf0c75132
feat(benchmark): add software CAM retrieval benchmark
...
Add software-based CAM retrieval benchmark to compare retrieval quality
and speed against hardware simulation. Includes experiment documentation
with noise sweep analysis on CIFAR-10/100 datasets.
- Add sw_retrieval_benchmark.py for software Hamming distance Top-K retrieval
- Add test_sw_retrieval_benchmark.py with unit tests for dataset loading and metrics
- Add experiment doc (sw_hw_cam_retrieval_benchmark.md) comparing software vs hardware
- Document noise sweep impact on retrieval quality at various WRITE_NOISE_RATE values
2026-05-27 19:52:14 +08:00
7cb6257531
feat(benchmarks): add noise injection experiment support to CAM retrieval benchmark
...
- 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
