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Understanding NUMA using Intel® Optimization for Caffe*

Published on March 28, 2018By Sunny G.

Introduction

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

Using Intel MKL BLAS and LAPACK with PETSc

Published on March 28, 2018By Ying H.

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

Installing Intel® Performance Libraries and Intel® Distribution for Python* via popular Linux* package managers

Published on January 19, 2017, updated March 26, 2018By Gergana S.

Select Package for Download Instructions

Developers can now easily access the following Intel® Software Development Tools through several Linux*...

Using Intel MKL and Intel TBB in the same application

Published on June 23, 2015, updated March 23, 2018By Gennady F.

Intel MKL 11.3 has introduced Intel TBB support.

Intel MKL 11.3 can increase performance of applications threaded using...

Intel® Math Kernel Library for Deep Learning Networks: Part 1–Overview and Installation

Published on March 13, 2017, updated January 26, 2018By Bryan B.

Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.

Introducing DNN primitives in Intel® Math Kernel Library

Published on October 30, 2016, updated January 24, 2018By Vadim Pirogov

Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL ​2019 and will be removed in the next...

Intel® Optimized Technology Preview for High Performance Conjugate Gradient Benchmark

Published on July 11, 2014, updated January 21, 2018By Gennady F.

Intel® Optimized Technology Preview for High Performance Conjugate Gradient Benchmark

The Intel® Optimized High...

What to do when Nested Parallelism Runs Amuck? Getting Started with Python* module for Threading Building Blocks (Intel® TBB) in Less than 30 Minutes!

Introduction and Description of Product

Intel® Threading Building Blocks (Intel® TBB) is a portable, open-source parallel programming library...

Manufacturing Package Fault Detection Using Deep Learning

Published on August 30, 2017, updated December 7, 2017By Yiqiang Z.

Intel's Software and Services Group engineers recently worked with assembly and test factory engineers on a proof of concept focused on adopting deep...

Automatic Defect Inspection Using Deep Learning for Solar Farm

Published on December 5, 2017

Intel's Software and Services Group (SSG) engineers recently collaborated with Intel's New Technology Group (NTG) to launch a joint systematic...

Intel® MKL Data Fitting component: Overview

Published on July 10, 2012, updated November 29, 2017By Andrey N.

 

Data Fitting functions in Intel® MKL provide spline-based interpolation capabilities that can be used for spline construction (Linear,...

Use Intel® MKL with OpenCV for FFT calculation

Published on November 29, 2017By Jing X.

Contents


1 Introduction                                                                                                     1
1...

Unpack result of Intel® MKL FFT to align with Matlab

Published on November 29, 2017By Jing X.

Contents


1 Introduction 1
1.1 Overview...

Potential 'NaN' results with Windows users on MKL 2018.0.1

Published on November 28, 2017By David L.

Certain Intel® Distribution for Python* 2.7 users on Windows may experience occasional NaN results when...

Numpy/Scipy with Intel® MKL and Intel® Compilers

This guide is intended to help current NumPy/SciPy users to take advantage of Intel® Math Kernel Library (Intel® MKL).

Improve Intel MKL Performance for Small Problems: The Use of MKL_DIRECT_CALL

Published on August 28, 2014, updated November 19, 2017By Zhang, Zhang

One of the big new features introduced in the Intel MKL 11.2 is the greatly improved performance for small problem sizes. In 11.2, this...

Speed Up Small-Matrix Multiplication

Speed Up Small-Matrix Multiplication using New Intel® Math Kernel Library Capabilities

Last updated: November 16, 2017Video length: 57 min

In this webinar we’ll look at new Intel® MKL capabilities, compare and contrast them for different matrix multiplication uses cases, and show you code samples and benchmark results for different sizes of problems.

Intel® Math Kernel Library (Intel® MKL) and pkg-config tool

    The pkg-config tool[1] is a widely used tool that many users apply to their makefiles. Intel® Math Kernel Library (Intel® MKL) provides pkg-...

Enabling Intel® MKL in PETSc applications

 

    PETSc(Portable, Extensible Toolkit for Scientific Computation) is an open source suite of data structures and routines for the parallel...

Overview of Summary Statistics (SS) in Intel® MKL

Published on April 7, 2011, updated November 7, 2017

 

Introduction : 

The data volumes which researchers and engineers analyze nowadays in their daily tasks are...

Extending R with Intel MKL

Published on February 20, 2013, updated November 1, 2017By TODD R.

Introduction

The Using Intel MKL with R article discusses building R with the Intel® Math Kernel Library (Intel® MKL) ...

Which Components of Intel® Math Kernel Library are "Redistributables"?

This article provides details on which Intel® MKL libraries are redistributable for your applications.

Performance Tips of Using Intel® MKL on Intel® Xeon Phi™ Coprocessor

Published on November 9, 2012, updated October 26, 2017By Zhang, Zhang

This page documents specific tips and the best known methods of using the Intel® Math Kernel Library on the Intel® Xeon Phi™ coprocessor. For...

Signal Processing Usage for Intel® System Studio

Published on November 14, 2014, updated October 26, 2017By Noah Clemons

Employing performance libraries can be a great way to streamline and unify the computational execution flow for data intensive tasks, thus...

Compiling and Linking Intel® Math Kernel Library with Microsoft* Visual C++*

Published on August 12, 2011, updated October 26, 2017By Fiona Z.

The article provides hints for linking your program with Intel® MKL from the Microsoft* Visual Studio Environment: Microsoft* Visual Studio 2017/...

How to Build an Intel® MKL Application with Intel® Visual Fortran Compiler

Published on December 15, 2011, updated October 26, 2017By Ying H.

This document describes the steps to build an Intel® MKL application with Intel® Visual Fortran Compiler XE for Windows* OS integrated with Microsoft...

FFT Length and Layout Advisor

Published on December 14, 2010, updated October 19, 2017

Multidimensional Fast Fourier Transform (FFT) - selecting optimal sizes and data layout

Parallelism in the Intel® Math Kernel Library

Published on August 2, 2012, updated October 17, 2017

The Intel® Math Kernel Library (Intel® MKL) contains a large collection of functions that can benefit math-intensive applications.

Using Intel® MKL in MATLAB Executable (MEX) Files

Published on May 19, 2011, updated October 15, 2017

This document describes common error messages and solutions when using Intel® MKL 10.3 with MATLAB R2008a on Windows*.

Intel MKL Threaded Functions

Published on February 1, 2012, updated October 11, 2017By Chao Y

Threaded functions included in Intel MKL

Intel® Math Kernel Library (Intel MKL) Linkage and Distribution - Quick Reference Guide

Published on July 18, 2014, updated October 10, 2017By Ying H.

The article describes various types of linkage models offering in Intel® Math Kernel Library (Intel MKL) and which Intel MKL libraries are...

How to analyze MKL code using Intel® Advisor

Published on October 5, 2017, updated October 10, 2017

Introduction

Vectorization Advisor is a vectorization optimization tool that lets you identify loops that will benefit most from vectorization,...

Building Large-Scale Image Feature Extraction with BigDL at JD.com

This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using...

Release Notes for Intel® Performance Libraries with Community Licensing

Published on August 24, 2015, updated October 3, 2017By Chao Y

Intel® provides developers the no-cost community licensing for Intel® Performance Libraries. The software libraries includes Intel® Math Kernel...

Intel® Math Kernel Library (Intel® MKL) 2017 Bug Fixes list

Published on September 6, 2016, updated September 29, 2017By Gennady F.

Intel(R) MKL 2017 Update 4 ( September 2017)

MKLD-3176 Fixed the wrong result issue of dlange routine for some specific...

Intel® System Studio 2018 Beta - Release Notes

Published on August 24, 2016, updated September 27, 2017By RICHARD A.

This page provides the current Release Notes for the Intel® System Studio 2018 Beta product.

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

Using Intel® Math Kernel Library Compiler Assisted Offload in Intel® Xeon Phi™ Processor

Introduction

Beside native execution, another usage model of using the Intel® Math Kernel Library (Intel® MKL) on an Intel® Xeon Phi™ processor...

Intel® Math Kernel Library on Intel® Xeon Phi processors for Windows*

Published on August 28, 2013, updated September 21, 2017By Vipin Kumar E K

Intel® Math Kernel Library (Intel MKL) support on Intel® Xeon Phi has been extended to 64 bit versions of Microsoft* Windows from Intel MKL 11.1...

Which version of the Intel® IPP, Intel® MKL and Intel® TBB Libraries are Included in the Intel® Composer Bundles?

Published on May 11, 2012, updated September 20, 2017By Paul F.

Intel IPP, Intel MKL, Intel TBB versions included in Intel Composer

Improving Performance of Math Functions with Intel® Math Kernel Library

Introduction

Intel® Math Kernel Library1 (Intel® MKL) is a product that accelerates math processing routines to increase the performance of an...

Intel® MKL and C++ template libraries

There are a few existing open source C++ template libraries that can be linked with Intel® MKL. Please refer to the documentation placed on the web-...

Using Intel® Math Kernel Library with Arduino Create

Published on September 15, 2017

Overview

This article presents use cases and provides examples which make use of the Intel® Math Kernel Library (Intel® MKL). Arduino Create*, a...

Setting number_of_user_threads for Intel® Math Kernel Library FFTW3 wrappers

Published on July 4, 2013, updated September 14, 2017

Consider the case when you

Create a FFTW3 plan and use the plan for sequential DFT computation on each thread in your parallel region Use...

Intel® Math Kernel Library (Intel® MKL) 2018 Install Guide

Published on March 25, 2017, updated September 13, 2017By Gennady F.

Please see the following links available online for the latest information regarding the Intel® Math Kernel...

Intel® Parallel Studio XE 2018 Professional Edition for Windows

Published on April 14, 2015, updated September 12, 2017

Product tour with videos and samples

Learn when and how to use the Intel Parallel Studio XE components in a...

Intel® Math Kernel Library (Intel® MKL) 2018 Getting Started

Published on March 25, 2017, updated September 12, 2017By Gennady F.

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

This article is intended to...

Intel® Math Kernel Library LAPACK Examples

Last updated: September 11, 2017

LAPACK - Linear Algebra PACKage, is a de-facto standard of the linear algebra functionality. The reference code is provided at Netlib site http://...

Tutorial: Using Intel® Math Kernel Library for Matrix Multiplication (Fortran Language)

Last updated: September 11, 2017

Fortran Language Sample Application Code

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