72b4b29ecd
Add comprehensive benchmarking suite for C++ optimization targets: - tests/benchmarks/dataset_hash_bench_test.go - dirOverallSHA256Hex profiling - tests/benchmarks/queue_bench_test.go - filesystem queue profiling - tests/benchmarks/artifact_and_snapshot_bench_test.go - scanArtifacts/extractTarGz profiling - tests/unit/worker/artifacts_test.go - moved from internal/ for clean separation Add parallel Go implementation as baseline for C++ comparison: - internal/worker/data_integrity.go: dirOverallSHA256HexParallel() with worker pool - Benchmarks show 2.1x speedup (3.97ms -> 1.90ms) vs sequential Exported wrappers for testing: - ScanArtifacts() - artifact scanning - ExtractTarGz() - tar.gz extraction - DirOverallSHA256HexParallel() - parallel hashing Profiling results (Apple M2 Ultra): - dirOverallSHA256Hex: 78% syscall overhead (target for mmap C++) - rebuildIndex: 96% syscall overhead (target for binary index C++) - scanArtifacts: 87% syscall overhead (target for fast traversal C++) - extractTarGz: 95% syscall overhead (target for parallel gzip C++) Related: C++ optimization strategy in memory 5d5f0bb6 |
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| .. | ||
| api_benchmark_test.go | ||
| artifact_and_snapshot_bench_test.go | ||
| dataset_hash_bench_test.go | ||
| ml_experiment_benchmark_test.go | ||
| payload_performance_test.go | ||
| queue_bench_test.go | ||
| response_packet_benchmark_test.go | ||
| response_packet_regression_test.go | ||