SIMD Optimization

Overview

NeuronDB uses SIMD (Single Instruction, Multiple Data) instructions for faster vector operations.

Supported Architectures

• x86_64: AVX2 and AVX512 with FMA instructions
• ARM64: NEON with dotprod extension

Automatic Optimization

SIMD optimizations are enabled automatically at compile time:

-- Operations automatically use SIMD
SELECT embedding <-> query_vector AS distance
FROM documents
ORDER BY distance
LIMIT 10;

Performance

SIMD provides significant speedup:

• 2-4x faster for distance calculations
• 3-5x faster for batch operations

Learn More

For detailed documentation on SIMD optimization, compiler flags, and performance tuning, visit: SIMD Optimization Documentation

Related Topics

• GPU Acceleration - GPU optimization
• Monitoring - Performance monitoring