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Intel® System Studio Release Notes, System Requirements, and What's New

This page provides system requirements and release notes for Intel® System Studio. They are are categorized by year, from the newest to oldest,...

Intel® MKL and Intel® IPP: Choosing a High Performance FFT

The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.

Silent Installation Guide for Intel® Parallel Studio XE Composer Edition for OS X*

Silent Installation Guide for Intel® Parallel Studio XE Composer Edition for macOS* version 2019  Silent Installation Guide for Intel® Parallel...

Introduction to Conditional Numerical Reproducibility (CNR)

Starting with 11.0 release,  Intel® MKL introduces a feature called Conditional Numerical Reproducibility (CNR) which provides functions for ...

Verbose Mode Supported in Intel® MKL

Introduction

     We Introduced a useful verbose mode support feature since the Intel® Math Kernel Library (Intel® MKL) 11.2, for ...

Intel® MKL 2019 VS Random Number Generator Performance Data

Last updated: March 7, 2019

Performance data obtained using vector statistics (VS) random number generator (RNG) including CPE (clocks per element) unit of measure, basic...

Notes for Intel® MKL Vector Statistics

Last updated: March 7, 2019

Vector Statistics (VS) is a component of Intel® Math Kernel Library (Intel® MKL). VS performs a range of statistical computations, including...

Installing Intel® Performance Libraries and Intel® Distribution for Python* Using YUM Repository

This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution...

Installing Intel® Performance Libraries and Intel® Distribution for Python* Using APT Repository

This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution...

Developer Guide for Intel® Math Kernel Library for Windows

Last updated: March 6, 2019

Revision: 066

What's New

Intel® Math Kernel Library (Intel® MKL) is a...

Developer Guide for Intel® Math Kernel Library for Linux

Last updated: March 6, 2019

Revision: 067

What's New

Intel® Math Kernel Library (Intel® MKL) is a...

Developer Guide for Intel® Math Kernel Library for macOS

Last updated: March 6, 2019

Revision: 066

What's New

Intel® Math Kernel Library (Intel® MKL) is a...

Get started with Intel® Math Kernel Library for macOS

Last updated: March 6, 2019

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a math computing library of highly optimized, extensively...

Get started with Intel® Math Kernel Library for Linux

Last updated: March 6, 2019

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a math computing library of highly optimized, extensively...

Get started with Intel® Math Kernel Library for Windows

Last updated: March 6, 2019

Intel® Math Kernel Library (Intel® MKL) helps you achieve maximum performance with a math computing library of highly optimized, extensively...

Developer Reference for Intel® Math Kernel Library - Fortran

Last updated: March 6, 2019

The Intel® Math Kernel Library (Intel® MKL) improves performance with math routines for software applications that solve...

Developer Reference for Intel® Math Kernel Library - C

Last updated: March 6, 2019

The Intel® Math Kernel Library (Intel® MKL) improves performance with math routines for software applications that solve...

Using Intel® Math Kernel Library for Matrix Multiplication - C

Last updated: March 6, 2019

C Language Sample Application Code

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Using Intel® MKL with R

Published on September 28, 2012, updated February 27, 2019By TODD R. (Intel)

Overview

R is a programming language for statistical computing. The open source package also provides an environment for creating and...

Download Documentation: Intel® Parallel Studio XE (Current and Previous)

Published on November 9, 2018, updated February 1, 2019

This page provides downloadable documentation packages for all editions of Intel® Parallel Studio XE (Cluster, Composer, Professional).

...

Intel® Math Kernel Library Link Line Advisor

Published on July 20, 2012, updated January 30, 2019

A tool for finding the right Intel® Math Kernel Library (Intel® MKL) file for you to link with your application.

Compiler Flag to Link with Intel® MKL in Intel® Compilers

Intel® C++ and Fortran Compilers introduce new options that will be useful for Intel® MKL users.

What do IA-32 and Intel® 64 Architecture mean?

Published on May 5, 2009, updated December 26, 2018

Intel® compilers and libraries use the architecture technology terms, IA-32 architecture Intel® 64 architecture.

Using Intel® Math Kernel Library for Matrix Multiplication - Fortran

Last updated: November 7, 2018

Fortran Language Sample Application Code

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TensorFlow* Sample Codes for Distributed Image Classification

The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning...

Installing Intel® MKL Cloudera* CDH Parcel

Intel® worked with Cloudera* to make it easy to use the Community forum supported Intel® Math Kernel Library (Intel® MKL...

Intel® Math Kernel Library LAPACK Function Finding Advisor

Introduction

The Intel® Math Kernel Library (Intel® MKL) LAPACK domain provides a huge variety of routines. To see what routines are recommended...

Intel® MKL 2019 Vector Mathematics Performance and Accuracy Data

Last updated: September 24, 2018

Vector Mathematics (VM) computes elementary functions on vector arguments. VM includes a set of highly optimized implementations of...

How to Get Intel® Math Kernel Library, Intel® Integrated Performance Primitives, or Intel® Data Analytics Acceleration Library

This page provides links to the current ways to get the Intel® Performance Libraries: Intel® Math Kernel Library (Intel® MKL), Intel® Integrated...

Intel® Math Kernel Library (Intel® MKL) 2019 Getting Started

For general advice on beginning use of Intel MKL visit the Getting Started Tutorial

This article is intended to...

Intel® Parallel Studio XE

Intel® Parallel Studio XE 2019 Beta

Thank you for your interest in the Intel® Parallel Studio XE 2019 Beta Program. The Intel® Parallel Studio XE 2018 Beta program is now closed....

Intel® System Studio Release Notes and What's New

Below are links to Intel® System Studio Release Notes. For more information, please visit our technical articles library.

Intel System Studio...

Intel® System Studio 2019 Beta Release Notes

This page provides Release Notes for Intel® System Studio 2019 Beta product.

To get product updates, log in to the Intel® Software...

conception of neural activity

Explore the Possibilities of Generative Modeling

Published on June 22, 2018

Read about the research by an Intel® Student Ambassador into the potential applications of the growing field of study into generative adversarial...

Intel® Math Kernel Library (Intel® MKL) : What's deprecated?

This Article contains various functionalities deprecated in different versions of Intel® MKL.

Intel® Math Kernel Library (Intel® MKL) 2019 System Requirements

Operating System Requirements

The Intel MKL 2019 release supports the IA-32 and Intel® 64 architectures. For a complete...

Build R-3.4.2 with Intel® C++ and Fortran Compilers and Intel® MKL on Linux*

R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical...

Distributed Deep Learning with Docker*, Intel® Nervana™ technology, neon™, and Pachyderm*

Published on April 3, 2017, updated June 8, 2018By Daniel W.

The recent advances in machine learning and artificial intelligence are amazing! It seems like we see something groundbreaking every day, from...

Intel® Math Kernel Library Benchmarks (Intel® MKL Benchmarks)

Intel MKL Benchmarks package includes Intel® Distribution for LINPACK* Benchmark, Intel® Distribution for MP LINPACK* Benchmark for Clusters, and...

Application Notes for Intel® Math Kernel Library Summary Statistics

Last updated: May 29, 2018

Summary Statistics is a subcomponent of the Vector Statistics domain of Intel® Math Kernel Library. Summary Statistics...

Intel® Math Kernel Library (Intel® MKL) 2018 Bug Fixes list

Intel(R) MKL 2018 Update 4 ( September 2018)

MKLD-3796 Fixed an issue with the ?GEEV routine producing segmentation fault when user...

Intel® MKL support for largest/smallest Eigenvalue and Sparse SVD Problem

Introduction

Intel MKL Extended Eigensolver functionality [1], based on the accelerated subspace iteration FEAST...

Introduction to the Intel® MKL Extended Eigensolver

 

Please Note: the article is out of date,  you may read the Intel® Math Kernel Library Reference Manual. The chapter on ...

Intel® Math Kernel Library (Intel® MKL) 2018 Update 2 ScaLAPACK Symmetric Eigensolver Enhancements

Introduction

The symmetric eigenvalue problem arises in the context of numerous scientific applications. Intel MKL...

Intel® Math Kernel Library (Intel® MKL) 2019 Beta System Requirements

Operating System Requirements

The Intel MKL 2019 beta release...

Intel® Math Kernel Library (Intel® MKL) 2019 Bug Fixes list

Intel(R) MKL 2019 Beta ( April 2018)

 

MKLD-3390 Fixed inconsistent behavior in MKL_LINK_TOOL routine. MKLD-3532 Fixed...

Intel® Math Kernel Library (Intel® MKL) 2019 Install Guide

Please see the following links available online for the latest information regarding the Intel® Math Kernel Library (Intel® MKL):

...

Improve Performance Using Vectorization and Intel® Xeon® Scalable Processors

Introduction

Modern CPUs include different levels of parallelism. High-performance software needs to take advantage of all opportunities for...

Using Intel MKL BLAS and LAPACK with PETSc

This document contains instructions for linking to Intel MKL BLAS and LAPACK functions when building the PETSc libraries. also introduce how to...

Understanding NUMA using Intel® Optimization for Caffe*

Introduction

In this article we demonstrate how Intel® VTune™ Amplifier can be used to identify and improve performance bottlenecks while running...

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