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mkl-dnn - Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

  •    C++

Intel MKL-DNN repository migrated to https://github.com/intel/mkl-dnn. The old address will continue to be available and will redirect to the new repo. Please update your links. Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for deep learning applications. The library accelerates deep learning applications and framework on Intel(R) architecture. Intel(R) MKL-DNN contains vectorized and threaded building blocks which you can use to implement deep neural networks (DNN) with C and C++ interfaces.

vpu-count - Information about AVX-512 support on recent Intel processors

  •    C

The intended user of this project is the developer of a numerical library that needs to know the throughput of floating-point FMA (fused multiply-add) on Xeon processors that support AVX-512. This project does not attempt to address the throughput of other operations, such as shuffles, permutations, or non-floating-point instructions. The project provides example code to show a user how to determine the number of AVX-512 FMAs in an Intel processor based on the Skylake microarchitecture. We encourage potential users to adapt the code to their usage, as some of the code included is rather pedantic (although this doesn't add significant runtime overhead unless debug printing is enabled).