Mkl-dnn

Jul 20, 2023

Intel(R) Math Kernel Library for Deep Neural Networks

IntelR Math Kernel Library for Deep Neural Networks IntelR MKL-DNN is an open source performance library for deep learning applications. The library accelerates deep learning applications and framework on IntelR architecture. IntelR MKL-DNN contains vectorized and threaded building blocks which you can use to implement deep neural networks DNN with C and C++ interfaces.

DNN functionality optimized for Intel architecture is also included in IntelR Math Kernel Library IntelR MKL. API in this implementation is not compatible with Intel MKL-DNN and does not include certain new and experimental features.

WWW https//01.org/mkl-dnn



Checkout these related ports:
  • Zn_poly - C library for polynomial arithmetic
  • Zimpl - Language to translate the LP models into .lp or .mps
  • Zegrapher - Software for plotting mathematical objects
  • Zarray - Dynamically typed N-D expression system based on xtensor
  • Z3 - Z3 Theorem Prover
  • Yices - SMT solver
  • Yacas - Yet Another Computer Algebra System
  • Xtensor - Multi-dimensional arrays with broadcasting and lazy computing
  • Xtensor-python - Python bindings for xtensor
  • Xtensor-io - Xtensor plugin to read/write images, audio files, numpy npz and HDF5
  • Xtensor-blas - BLAS extension to xtensor
  • Xspread - Spreadsheet program for X and terminals
  • Xppaut - Graphical tool for solving differential equations, etc
  • Xplot - X11 plotting package
  • Xlife++ - XLiFE++ eXtended Library of Finite Elements in C++