IEG Growth Platform Technology Team
Mar 15, 2022 · Backend Development
Optimizing Vector Retrieval in Go: SIMD and Plan9 Assembly for High‑Performance Vector Search
This article presents a backend‑focused study on reducing latency of vector‑based ad recommendation retrieval by leveraging Gonum, SIMD AVX2 intrinsics, and direct Plan9 assembly integration in Go, and it validates the approach with detailed performance benchmarks and CPU usage analysis.
AssemblyBackendSIMD
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