Autorenblog

Python accelerated (using Intel MKL)
Von James Reinders (Intel) Veröffentlicht am 03.01.2016 0
Python can be accelerated by having the numerical libraries, NumPy and SciPy, use the Intel® Math Kernel Library (MKL).  This requires no change to your Python application, and instantly speeds up performance on Intel processors, including Intel® Xeon Phi™ processors (codenamed Knights Landing). T…
No Cost Options for Intel Integrated Performance Primitives Library (IPP), Support Yourself, Royalty-Free
Von James Reinders (Intel) Veröffentlicht am 14.09.2015 0
Intel® IPP is an extensive library which includes thousands of optimized functions covering frequently used fundamental algorithms including those for creating digital media, enterprise data, embedded, communications, and scientific/technical applications. Intel IPP includes routines for Image Processing, Computer Vision, Data Compression, Signal Processing and (with an optional add-on) Cryptography. Intel IPP is available for Linux*, OS X* and Windows*.
No Cost Options for Intel Data Analytics Acceleration Library (DAAL), Support yourself, Royalty-Free
Von James Reinders (Intel) Veröffentlicht am 04.09.2015 0
Intel® DAAL is a library product from Intel that accelerates big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*, R, and Matlab*. for highly efficient data access. Intel DAAL is available for Linux*, OS X* and Windows*.
No Cost Options for Intel Math Kernel Library (MKL), Support Yourself, Royalty-Free
Von James Reinders (Intel) Veröffentlicht am 31.08.2015 1
Here is a guide to various ways to obtain the latest version of the Intel® Math Kernel Library (Intel® MKL) for free without access to Intel® Premier Support (get support by posting to the Intel Math Kernel Library forum). Anytime you want, the full suite of tools (Intel® Parallel Studio XE) with Intel® Premier Support and access to previous library versions can be purchased worldwide.
Intel Data Analytics Acceleration Library
Von James Reinders (Intel) Veröffentlicht am 25.08.2015 0
The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*, R, and Matlab*. for highly efficient data access. Intel DAAL is available for Linux*, OS X* and Windows*.
No Cost Options for Intel Parallel Studio XE, Support Yourself, Royalty-Free
Von James Reinders (Intel) Veröffentlicht am 25.08.2015 4
Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Intel® Parallel Studio XE 2016: High Performance for HPC Applications and Big Data Analytics
Von James Reinders (Intel) Veröffentlicht am 25.08.2015 1
Intel® Parallel Studio XE 2016, launched on August 25, 2015, is the latest installment in our developer toolkit for high performance computing (HPC) and technical computing applications. This suite of compilers, libraries, debugging facilities, and analysis tools, targets Intel® architecture, including support for the latest Intel® Xeon® processors (codenamed Skylake) and Intel® Xeon Phi™ processors (codenamed Knights Landing). Intel® Parallel Studio XE 2016 helps software developers design, build, verify and tune code in Fortran, C++, C, and Java.
ModernCode Project - Intel and Partners Helping You Make Today’s Software Be Ready for Tomorrow’s Computers
Von James Reinders (Intel) Veröffentlicht am 13.07.2015 0
Today, we introduced the Intel® Modern Code Developer Community, which focuses on the pursuit of parallel programming.  The community includes our very successful series of Modern Code Live Workshops taught around the world and our upcoming Intel® HPC Developer Conferences. Our community includes t…
ModernCode 项目 - 英特尔与合作伙伴帮助您令目前的软件支持未来的计算机
Von James Reinders (Intel) Veröffentlicht am 13.07.2015 0
今天,我们推出了英特尔® 现代代码开发人员社区,该社区重点专注于并行编程。该社区包含在全球召开并大获成功的现代代码现场研讨会 系列,以及即将举办的英特尔® 高性能计算开发人员大会。 我们的社区还涵盖所有英特尔® 并行计算中心(IPCC)(位于全球的研究机构内,旨在实现关键技术代码现代化),以及来自世界各地的专家,包括英特尔® 黑带软件开发人员。除在线社区外,我们还将在秋季举办具有特别意义和价值并且激动人心的竞赛。 鼓励和宣讲并行编程 10 年前,时钟频率的数字不再继续增长,由于半导体数量的不断增多,开启了全新的并行化时代(与 50 年前提出的摩尔定律如出一辙)。今天,多核与众核处理器…
New book: Multithreading for Visual Effects
Von James Reinders (Intel) Veröffentlicht am 04.08.2014 0
Several authors from DreamWorks Animation, Pixar, Side Effects, AMD and Intel got together to write a book based on the Siggraph 2013 course on Multithreading in Visual Effects. The material in the book is greatly expanded and updated from the course material, and includes an additional chapter on …