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v0.9.0 - Performance Optimizations and Architectural Improvements

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@OldCrow OldCrow released this 13 Aug 04:19
· 119 commits to main since this release

πŸš€ DUAL API BATCH PROCESSING SYSTEM

  • NEW: Auto-dispatch batch processing API with intelligent strategy selection
  • NEW: Power-user explicit strategy control for fine-tuned performance optimization
  • SIMD and parallel processing strategies automatically selected based on data size and CPU capabilities
  • Performance hints system for guiding optimization decisions (MINIMIZE_LATENCY, MAXIMIZE_THROUGHPUT, etc.)
  • Thread-safe batch operations: getProbability(), getLogProbability(), getCumulativeProbability()
  • Comprehensive strategy options: SCALAR, SIMD_BATCH, PARALLEL_SIMD, WORK_STEALING, CACHE_AWARE

πŸ“ HEADER ARCHITECTURE CONSOLIDATION

  • MAJOR: Consolidated header architecture reducing redundant includes by ~60%
  • NEW: Modular header system with clear dependency levels (0-6)
  • NEW: Consolidated convenience headers: distribution_common.h, distribution_platform_common.h
  • Enhanced build performance through better header organization and dependency management
  • Maintained backward compatibility while optimizing compilation efficiency

πŸ“š DOCUMENTATION OVERHAUL

  • MAJOR: Updated README.md to be concise while directing to comprehensive documentation
  • NEW: Four detailed documentation guides covering all aspects of the library:
    • BUILD_SYSTEM_GUIDE.md - Complete build system, cross-platform support, SIMD detection
    • HEADER_ARCHITECTURE_GUIDE.md - Modular headers, dependency management, usage patterns
    • PARALLEL_BATCH_PROCESSING_GUIDE.md - High-performance APIs, optimization guidelines
    • WINDOWS_SUPPORT_GUIDE.md - Windows development environment support
  • Clear separation between quick-start content and detailed reference material

βœ… BUILD SYSTEM ENHANCEMENTS

  • Enhanced CMake configuration with better error handling and cross-platform support
  • Improved parallel build detection and automatic optimization
  • Better SIMD detection and configuration across platforms
  • Comprehensive threading system detection (TBB, OpenMP, pthreads, GCD, Windows Thread Pool)

🎯 PERFORMANCE IMPROVEMENTS

  • Intelligent auto-dispatch eliminates need for manual performance optimization in most cases
  • SIMD optimization: 2-70x speedup for suitable operations depending on distribution complexity
  • Parallel processing: Up to NΓ— speedup where N = CPU cores for large batch operations
  • Work-stealing thread pools provide superior load balancing for irregular workloads