Simd
A high-performance C++ image processing and machine learning library optimized with SIMD instructions across multiple CPU architectures.
What is Simd?
Simd is a C++ library for high-performance image processing and machine learning that leverages SIMD (Single Instruction, Multiple Data) instructions across multiple CPU architectures. It provides optimized algorithms for tasks like pixel manipulation, image filtering, motion detection, object classification, and neural network operations. The library solves the problem of computationally intensive image and ML workloads by utilizing hardware-specific optimizations to achieve maximum performance.
C and C++ developers working on performance-critical image processing, computer vision, or machine learning applications, especially those targeting multiple CPU architectures like x86/x64, ARM, or Hexagon.
Developers choose Simd for its extensive SIMD optimizations across diverse CPU extensions, providing significant speedups over scalar implementations. Its cross-platform support, clean API, and integration with tools like OpenCV make it a versatile choice for high-performance computing tasks without vendor lock-in.
Overview
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM, HVX for Hexagon
Use Cases
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