Article

Intel® MKL with NumPy, SciPy, MATLAB, C#, Python, NAG and More

The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/06/23 - 18:50
Article

Using Intel® MKL with R

Overview

作者: TODD R. (Intel) 最后更新时间: 2019/03/27 - 10:00
Article

Extending R with Intel MKL

Introduction

作者: TODD R. (Intel) 最后更新时间: 2019/03/27 - 13:20
Article

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 techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. This guide will show how to build R with the Intel® C++ and Fortran Compilers and BLAS and LAPACK libraries within Intel® Math Kernel...
作者: Devorah H. (Intel) 最后更新时间: 2018/06/19 - 18:22
Article

Performance Comparison of OpenBLAS* and Intel® Math Kernel Library in R

Today, scientific and business industries collect large amounts of data, analyze them, and make decisions based on the outcome of the analysis. This paper compares the performance of Basic Linear Algebra Subprograms (BLAS), libraries OpenBLAS, and the Intel® Math Kernel Library (Intel® MKL).
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/06 - 16:40
博客

VTune Amplifier - Collection failed due to SCP failing to copy files from the host to the target

VTune Amplifier uses SCP as a mechanism to copy files to and from the host and the target system, while performing a remote collection. 

作者: Shailen Sobhee (Intel) 最后更新时间: 2018/05/30 - 07:08
Article

R 语言中的OpenBLAS*和英特尔® 数学核心函数库的性能比较

Today, scientific and business industries collect large amounts of data, analyze them, and make decisions based on the outcome of the analysis. This paper compares the performance of Basic Linear Algebra Subprograms (BLAS), libraries OpenBLAS, and the Intel® Math Kernel Library (Intel® MKL).
作者: Nguyen, Khang T (Intel) 最后更新时间: 2019/07/06 - 16:30
博客

Modernizing Software with Future-Proof Code Optimizations

by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group

作者: Henry Gabb (Intel) 最后更新时间: 2019/07/06 - 17:10
视频

The State of High-Performance Computing in the Open-Source R Ecosystem

Speaker: Drew Schmidt, University of Tennessee

作者: 管理 最后更新时间: 2019/03/09 - 14:40
File Wrapper

Parallel Universe Magazine - Issue 17, March 2014

作者: 管理 最后更新时间: 2019/03/21 - 12:00