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Code Sample: Intel® AVX512-Deep Learning Boost: Intrinsic Functions

How developers can use to take advantage of the new Intel® AVX512-Deep Learning Boost (Intel® AVX512-DL Boost) instructions.

Intel and Facebook* collaborate to boost PyTorch* CPU performance

Intel's software optimization and 2nd generation Intel® Xeon® Scalable Processors with Intel® DL Boost® accelerate PyTorch's CPU performance

Boost Deep Learning with Intel® Advanced Vector Extensions 512

Last updated: March 29, 2019Video length: 5 min

Learn how Intel® Advanced Vector Extensions 512 can accelerate deep learning within Intel® Xeon® Scalable processors.

Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.

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

Published on September 4, 2018, updated March 21, 2019By Jeffrey R.

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

Published on October 30, 2011, updated March 15, 2019

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*

Published on November 4, 2015, updated March 13, 2019By Ying H.

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)

Published on September 4, 2012, updated March 11, 2019By TODD R.

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

Published on March 30, 2014, updated March 11, 2019By Ying H.

Introduction

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

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

Published on February 16, 2017, updated March 7, 2019By Gergana S.

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

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...

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

Published on February 16, 2017, updated March 7, 2019By Gergana S.

Installation guide for the Intel® Performance Libraries and Intel® Distribution for Python through APT repos.

Intel® Math Kernel Library 2019 Bug Fixes

Intel® Math Kernel Library (Intel® MKL) 2019 Update 3 (March 2019).

MKLD-3933 Fixed the issue the Intel MKL Parallel Direct Sparse Solver...

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...

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...

Using Intel® Math Kernel Library for Matrix Multiplication - C

Last updated: March 6, 2019

C Language Sample Application Code

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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 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 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...

Using Intel® MKL with R

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

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

Published on October 11, 2010, updated December 27, 2018By Gennady F.

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

Published on May 4, 2017, updated October 8, 2018By Fiona Z.

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

Published on June 4, 2017, updated September 17, 2018By Ying H.

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

Published on February 18, 2018, updated September 12, 2018By Gennady F.

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

Published on March 16, 2018, updated September 12, 2018By Elizabeth S

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 ® MKL Sparse QR solver. Multifrontal Sparse QR Factorization Method for Solving a Sparse System of Linear Equations

Introduction

    The QR decomposition of a matrix is an essential kernel for a variety of problems in scientific...

Intel® System Studio 2019 Beta Release Notes

Published on May 31, 2018, updated July 11, 2018By Jeffrey R.

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?

Published on July 26, 2012, updated June 21, 2018By Gennady F.

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*

Published on June 23, 2013, updated June 19, 2018By Devorah H.

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)

Published on November 1, 2016, updated May 29, 2018By Gennady F.

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

Published on August 25, 2017, updated May 29, 2018By Gennady F.

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

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

Introduction to the Intel® MKL Extended Eigensolver

Published on February 12, 2013, updated April 28, 2018By Zhang, Zhang

 

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

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...

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...

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