SIMD AVX-512: Compiling Vector Loops to Hardware Speed

To scan millions of vectors in microseconds, you must execute mathematical operations in parallel at the CPU level.

Spector achieves this by using the Java Vector API to generate native SIMD instructions.

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SIMD Parallelism

Standard loops compute one division or multiplication at a time. Single Instruction Multiple Data (SIMD) processes multiple values in a single clock cycle.

Spector compiles vector similarity operations to utilize:

• AVX-512: Processes 16 float coordinates simultaneously on modern CPUs.
• NEON: Processes 4 float coordinates on ARM architecture.

This CPU-level optimization allows Spector to execute dot-products and cosine similarities at hardware limits, yielding throughputs of over 60,000 queries per second.