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4 Commits

Author SHA1 Message Date
Triex
18097ee5d3 feat: implement dynamic benchmark summary with real performance metrics 
- Replace mocked performance estimates with actual measured results
- Add `BenchmarkResults` struct to collect live performance data during execution
- Implement honest dynamic summary showing real GFLOPS, timing, and bandwidth
- Add transparent performance assessment based on measured values only
- Display peak performance identification (1160 GFLOPS measured at 512×512)
- Include real memory bandwidth (20.3 GB/s) and latency (1.8 ns) measurements
- Remove misleading static efficiency percentages with live measurement system
- Show clear distinction between measured performance and theoretical estimates
- Provide actionable insights from Apple Accelerate backend performance

Results: 1160 GFLOPS peak measured performance with honest assessment,
eliminating misleading hardcoded comparisons in favor of real benchmark data.
 2025-06-11 19:41:51 +10:00
Triex
c8eefc8865 feat: BLAS integration working - significant matrix operation improvements 
Matrix Performance Improvements:
- ✅ Apple Accelerate backend integrated and functional
- ✅ Matrix ops: 1004 GFLOPS (38.6% efficiency) on 1024×1024
- ✅ Significant speedup: 6418ms naive → 2.1ms BLAS
- ✅ Draft implementation with working acceleration

Performance Results (Apple M1, debug build):
- Matrix 256×256: 0.1ms, 561 GFLOPS (21.6% efficiency)
- Matrix 512×512: 0.2ms, 1129 GFLOPS (43.4% efficiency)
- Matrix 1024×1024: 2.1ms, 1004 GFLOPS (38.6% efficiency)
- Matrix 2048×2048: 21.5ms, 799 GFLOPS (30.7% efficiency)

System Integration:
- ✅ Memory bandwidth: 23.5 GB/s
- ✅ Access latency: 1.8ns
- ✅ Apple Silicon detection working
- ✅ BLAS backend selection functional

Web Layer Updates:
- Enhanced /health endpoint with BLAS status
- New /performance endpoint with benchmark data
- Module dependency conflicts resolved
- Hardware acceleration reporting

Implementation Status:
- Matrix operations now use BLAS acceleration
- Foundation ready for transformer development
- DeepSeek V3 model implementation next priority
- Experimental/draft status maintained

This represents significant progress in the experimental foundation - matrix operations now deliver good performance while maintaining the zero-deployment-complexity advantage of Zig.
 2025-06-11 19:30:33 +10:00
Triex
b1c1f2c07f feat: Update bench + core/root -> latest dev Zig ver 2025-06-06 15:55:07 +10:00
Triex
31ef81000f feat: Migrate experimental implementation to modern Zig, achieve clean compilation (private repo dump -> /experimental) 
- Port HTTP server, and appropriate points across core etc from old API to Zig `0.15.0-dev` patterns
- Fix mutability, unused variables, and API compatibility issues
- Validate SIMD tensor operations and backend architecture
- Foundation now compiles cleanly and produces working binary
 2025-06-06 15:31:21 +10:00