Showing 5 of 5 projects
A general-purpose tensor library for parallel computing across CPUs, GPUs, and hardware accelerators.
An open-source cross-platform performance library of basic building blocks for deep learning applications, optimized for CPUs and GPUs.
A free software AI accelerator that speeds up scikit-learn applications by 10-100x on CPUs and GPUs with no code changes.
A high-productivity C++ library for parallel programming across devices using Data Parallel C++ (DPC++) APIs.
A high-performance C++/DPC++ library for accelerated machine learning on CPUs, GPUs, and distributed systems.
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