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- Intel® Select Solutions for Bigdl on Apache Spark*
- Intel® Math Kernel Library (Intel® MKL)
- Arxiv:1809.02697V3 [Cs.DC] 5 Jul 2019 Computation on Cpus
- Profiling and Inspecting Linear Algebra Applications Using Flexiblas
- And Multi-Core BLAS Implementations and Gpus for Use with R
- English Release Notes
- Intel® Math Kernel Library for Windows OS ® User's Guide
- Xserve Technology Overview January 2008 Technology Overview Xserve
- Math Kernel Library for OS X* Developer Guide
- Intel® Performance Libraries: the Latest Updates, Upcoming Features
- Intel® Technology Journal | Volume 18, Issue 2, 2014
- Performance Report PRIMERGY CX250 S2
- Intel AI Overview
- Accelerating Machine Learning Using BLIS
- Using the Intel® Math Kernel Library for Matrix Multiplication
- Mathematical Libraries and Application Software JSC Training Course
- Accelerate Machine-Learning Workloads with Intel® Math Kernel Library (Intel® MKL)
- Intel® Math Kernel Library for OS X* User's Guide
- Introduction to Parallel Programming (For Physicists) FRANÇOIS GÉLIS & GRÉGOIRE MISGUICH, Ipht Courses, June 2019
- Intel® Math Kernel Library 2018 (Intel® MKL)
- Intel® Math Kernel Library
- Performance Libraries
- Geovision Gets a 24X Deep Learning Algorithm Performance Boost
- Intel® Math Kernel Library 11.1 Product Brief
- Intel(R) Math Kernel Library for Linux* OS User's Guide
- パフォーマンスレポート Primergy Cx270 S2
- Performance Report PRIMERGY RX2540 M5
- Intel® Technology Journal | Volume 16, Issue 1, 2012
- Intel® Math Kernel Library for Linux* OS User's Guide
- Intel Xeon-Phi an Overview – MKL
- Using the Intel® Math Kernel Library for Matrix Multiplication
- Intel® Math Kernel Library. Intel® Integrated Performance Primitives, the Latest Updates, Upcoming Features
- Intel® C++ Compiler Professional Edition 11.1 for Mac OS* X Installation Guide and Release Notes
- Intel® Math Kernel Library 11.1 Product Brief
- Intel® Math Kernel Library
- Notes on Intel
- Intely Xeon Phitm Coprocessor H Igh- Performance Programming
- Fastest and Most Used Math Library for Intel®-Based Systems1
- Intel Select Solutions for AI Inferencing
- Intel® Oneapi Math Kernel Library for OS X* User's Guide
- Intel® Math Kernel Library 2019 (Intel® MKL)
- Flexiblas Switching BLAS Libraries Made Easy Martin K¨Ohler Joint Work with Jens Saak, Christian Himpe, and J¨Ornpapenbroock January 29, 2018 What Is BLAS?
- Intel® C++ Compiler Professional Edition 11.1 for Windows* In-Depth Intel® C++ Compiler Professional Edition 11.1 for Windows*
- Boosting Application Performance Using Intel® Performance Libraries
- Intel® Architectures
- List of Applications Updated in ARL #2549
- Intel® Math Kernel Library Lab (Fortran Version)
- Resource Allocation in a Cloud Partially Powered by Renewable Energy Sources Yunbo Li
- Break Away with Intel® Atom™ Processors Digital Edition
- Intel® Software Development Tools Optimize Deep Learning Performance for Healthcare Imaging White Paper
- Intel® Oneapi Math Kernel Library for Windows* OS User's Guide
- Using the Intel® Math Kernel Library (Intel® MKL) and Intel® Compilers to Obtain Run-To-Run Numerical Reproducible Results
- Overview of the Intel® Oneapi Math Kernel Library
- Intel® Math Kernel Library for Linux* OS User's Guide
- Intel® Fortran Compiler Professional Edition 11.1 for Mac OS* X Installation Guide and Release Notes
- Intel(R) Math Kernel Library for the Linux* OS User's Guide
- Intel® MKL Is Industry's Leading Math Library
- Intel® Software Development Tools for High Performance Computing and Machine Learning Tasks Intel® MKL, Intel® DAAL, Intel® IPP
- Verdana Bold 30
- A High Performance BLAS Implementation with Online Fault Tolerance