#### Feature Issue #2: Hardware Acceleration Integration

[drzo]

Feature Issue #2: Hardware Acceleration Integration

Priority: High
Estimated Effort: 6-8 weeks
Dependencies: GGML backend stability

Description: Integrate GGML tensor operations for financial calculations across multiple hardware backends, optimizing for low-latency trading and risk calculations.

Actionable Tasks:

• Task 2.1: Financial Tensor Operations Library

  • Create financial-specific GGML kernels (Black-Scholes, Monte Carlo)
  • Implement matrix operations for portfolio optimization
  • Add statistical functions for risk calculations
  • Create custom operators for financial derivatives
  • Deliverable: Financial tensor library with 50+ operations
  • Testing: Numerical accuracy tests against reference implementations
  • Validation: Performance benchmarks vs traditional financial libraries

• Task 2.2: Multi-Backend Support Enhancement

  • Optimize CPU backend with AVX-512 for financial calculations
  • Enhance CUDA backend for parallel risk scenarios
  • Improve Metal backend for Apple Silicon deployment
  • Add specialized FPGA backend for ultra-low latency
  • Deliverable: 4+ hardware backends with automated selection
  • Testing: Cross-platform compatibility tests
  • Validation: Latency tests: <50μs for options pricing

• Task 2.3: Memory Management Optimization

  • Implement financial data-aware memory pools
  • Add cache-friendly data structures for market data
  • Create memory-mapped file support for historical data
  • Optimize memory access patterns for NUMA systems
  • Deliverable: Memory system with 90%+ cache hit rates
  • Testing: Memory leak detection and performance profiling
  • Validation: 24-hour memory stability test