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Introduction to GEN Assembly
DownloadDownloadContentsIntroductionAssembly for Simple OpenCL KernelsHow to Read an Assembly InstructionReferencesAbout the AuthorIntroductionIn order to better optimize and debug OpenCL kernels,...
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Intel® Parallel Computing Center at The University of Texas at Austin
Principal Investigators:Robert van de Geijn is professor of computer science and core member of the Institute for Computational Engineering and Sciences, where he heads the Science of High-Performance...
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Intel® Parallel Computing Center at San Diego Supercomputer Center at...
Principal Investigator:Dr. Yifeng Cui is Director of the High Performance GeoComputing Laboratory at SDSC and an adjunct professor at San Diego State University. Cui helped establish the Southern...
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Meet the Experts - John McCalpin
John McCalpinResearch ScientistJohn has been involved in high performance scientific computing for about 30 years, starting with modeling ocean circulation on the vector supercomputers of the 1980’s....
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Putting Your Data and Code in Order: Optimization and Memory – Part 1
This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield...
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Putting Your Data and Code in Order: Data and layout - Part 2
In this pair of articles on performance and memory covers basic concepts to provide guidance to developers seeking to improve software performance. These articles specifically address memory and data...
View ArticleIntel® Math Kernel Library (Intel® MKL) 11.3 Update 2 for Windows*
Intel® Math Kernel Library (Intel® MKL) is a highly optimized, extensively threaded, and thread-safe library of mathematical functions for engineering, scientific, and financial applications that...
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Peel the onion (optimization techniques)
This paper is a more formal response to a IDZ Forum posting. See: (https://software.intel.com/en-us/forums/intel-moderncode-for-parallel-architectures/topic/590710).The issue as expressed by original...
View ArticleCode and Data Prioritization Proof Points and Software Enabling
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F1* 2015 Goes to the Next Level of Realism on the PC
Download [PDF 2MB]Intro:F1* 2015 is the latest FORMULA ONE* game produced by Codemasters, based on a unique iteration of their proprietary EGO engine. The game was created almost entirely from scratch...
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Understanding NUMA for 3-Dimensional Finite Difference (3DFD) Code with an...
This article demonstrates techniques that software developers can use to identify and fix NUMA-related performance issues in their applications using the latest Intel® software development tools.Quick...
View ArticleIntel® Parallel Studio XE 2017 Beta
ContentsHow to enroll in the Beta programWhat's New in the 2017 BetaFrequently Asked QuestionsBeta duration and scheduleSupportBeta webinarsBeta Release NotesKnown issuesNext stepsHow to enroll in the...
View ArticleDiagnostic 15423: loop has only one iteration
Product Version: Intel® Fortran Compiler 15.0 and a later version Cause:The Intel® Fortran Compiler will not vectorize a loop when it knows the loop has only one iteration. If the user requires...
View ArticleDiagnostic 15328 vectorization support: gather was emulated for the variable...
Product Version: Intel® Fortran Compiler 15.0 and a later version Cause:A vectorizable loop contains loads from memory locations that are not contiguous in memory (sometimes known as a “gather”). These...
View ArticleDiagnostic 15415 vectorization support: gather was generated for the variable...
Product Version: Intel® Fortran Compiler 15.0 and a later version Cause:A vectorizable loop contains loads from memory locations that are not contiguous in memory (sometimes known as a “gather”). These...
View ArticleIntel® C++ Compiler 17.0 Release Notes
This page provides links to the current Release Notes for the Intel® C++ Compiler 17.0 component of Intel® Parallel Studio XE 2017 for Windows*, Linux* and OS X*. To get product updates, log in to the...
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Intel® Parallel Computing Center at the Ohio Supercomputer Center
Principal Investigators:Karen Tomko, Principal Investigator: Dr. Karen Tomko is director of Research and manager of the Scientific Applications group at OSC. She has collaborated with computational...
View ArticleIntel® 17.0 compilers for OS X* Xcode* integration now supports all installed...
The Intel® 17.0 C++ and Fortran compilers for OS X* now support all updates within a major version of the compiler in the Xcode* IDE integration. This makes it possible to switch between all installed...
View ArticleLive Webinar: Boost Python* Performance with Intel® Math Kernel Library
Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community. Performance, however, remains a key drawback due to Python being an interpreted...
View ArticleLive Webinar: Performance Analysis of Python* Applications with Intel® VTune™...
Efficient profiling techniques can help dramatically improving the performance of your Python* code by detecting time, CPU, and memory bottlenecks. This session discusses the need, advantages, and...
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