consensus

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2 Commits

Include renames

Author	SHA1	Message	Date
zeekay	dbadee0a51	refactor: clean package structure with single-import SDKs BREAKING CHANGE: Package paths have been reorganized for clarity ## Major Changes ### Package Structure - Collapsed engine/core → engine (removed unnecessary nesting) - Moved core/types → types (top-level types package) - Added root facade for single-import experience - Removed redundant factory.go ### SDK Improvements All SDKs now provide single-import interfaces: - Go: import "github.com/luxfi/consensus" - Python: import lux_consensus as consensus - Rust: use lux_consensus::* ### Documentation - Added comprehensive introduction and architecture docs - Created AI/ML integration guide for researchers - Added research section with papers and experiments - Improved sidebar organization and discoverability ### Benefits - Shallow, obvious import paths - One responsibility per package - DRY, composable, orthogonal design - Idiomatic patterns for each language - Consistent API across all SDKs This refactor provides a clean, intuitive developer experience where one import is enough and things work one way only.	2025-11-12 21:40:00 -08:00
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

Author

SHA1

Message

Date

zeekay

dbadee0a51

refactor: clean package structure with single-import SDKs

BREAKING CHANGE: Package paths have been reorganized for clarity

## Major Changes

### Package Structure
- Collapsed engine/core → engine (removed unnecessary nesting)
- Moved core/types → types (top-level types package)
- Added root facade for single-import experience
- Removed redundant factory.go

### SDK Improvements
All SDKs now provide single-import interfaces:
- Go: import "github.com/luxfi/consensus"
- Python: import lux_consensus as consensus
- Rust: use lux_consensus::*

### Documentation
- Added comprehensive introduction and architecture docs
- Created AI/ML integration guide for researchers
- Added research section with papers and experiments
- Improved sidebar organization and discoverability

### Benefits
- Shallow, obvious import paths
- One responsibility per package
- DRY, composable, orthogonal design
- Idiomatic patterns for each language
- Consistent API across all SDKs

This refactor provides a clean, intuitive developer experience where
one import is enough and things work one way only.

2025-11-12 21:40:00 -08:00

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