The Compute Library is a set of computer vision and machine learning functions optimized for both Arm CPUs and GPUs using SIMD technologies. The library provides superior performance to other open-source alternatives and immediate support for new Arm® technologies e.g. SVE2.
Features
- Open source software available under a permissive MIT license
- Over 100 machine learning functions for CPU and GPU
- Multiple convolution algorithms (GeMM, Winograd, FFT, Direct and indirect-GeMM)
- Support for multiple data types: FP32, FP16, INT8, UINT8, BFLOAT16
- Micro-architecture optimization for key ML primitives
- Highly configurable build options enabling lightweight binaries
- Advanced optimization techniques such as kernel fusion, Fast math enablement and texture utilization
- Device and workload specific tuning using OpenCL tuner and GeMM optimized heuristics
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow Compute Library
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Compute Library!