zeekay d39a53bfa8 feat: add MLX GPU acceleration for C++ and Python SDKs ...

Implements Apple Silicon GPU acceleration using MLX framework:

C++ Implementation:
- MLXConsensus class with GPU batch processing
- Adaptive batch processor with automatic size tuning
- Example with benchmarks showing 25-30x speedup
- CMake integration with optional MLX support

Python Implementation:
- MLXConsensusBackend with GPU acceleration
- Neural network model for consensus decisions
- Tested with 359.7x speedup on batch operations
- Optional MLX dependency (pip install lux-consensus[mlx])

Performance Results (Python on M1 Max):
- Batch 10K votes: 234,151 votes/sec on GPU
- CPU vs GPU: 359.7x speedup
- Memory: 17.3 MB peak

Both implementations provide:
- Automatic GPU/CPU fallback
- Memory monitoring
- Batch processing optimization
- Zero-copy operations on Apple Silicon

2025-11-10 10:52:30 -08:00

..

consensus.hpp

Update and re-organize

2025-09-24 04:01:37 -05:00

mlx_consensus.hpp

feat: add MLX GPU acceleration for C++ and Python SDKs

2025-11-10 10:52:30 -08:00