Problem

MISSING: Low-level kernel optimization for critical operations, enabling hardware-specific acceleration.

Missing Implementations

Custom Kernels (HIGH):

• Optimized matrix multiplication (GEMM)
• Fused attention kernels
• Depthwise separable convolution
• Group convolution
• Custom activation functions

SIMD/Vectorization (HIGH):

• AVX2/AVX-512 on x86
• NEON on ARM
• Explicit vectorization
• Auto-vectorization hints

GPU Optimization (HIGH):

• CUDA kernel implementations
• Shared memory utilization
• Warp-level primitives
• Tensor cores usage (Ampere+)

CPU Optimization (MEDIUM):

• Cache-aware algorithms
• Loop tiling
• Prefetching
• Parallel decomposition

Integration Points

• Custom operator registration
• Fallback to reference implementation
• Platform detection
• Performance profiling

Architecture

Success Criteria

• 2-5x speedup on critical operations
• Hardware-specific optimization
• Graceful fallback
• Benchmarks vs MKL, cuBLAS