Intel System Studio not only provides a variety of signal processing primitives via Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Math Kernel Library (Intel® MKL), but also allows developing high-performance low-latency custom code (Intel C++ Compiler with Intel Cilk Plus). Since Intel Cilk Plus is built into the compiler, it can be used where it demands an efficient threading runtime in order to extract parallelism. Therefore it's possible to effectively introduce multicore parallelism even without introducing it into each of the important algorithms e.g., by employing a parallel pattern called pipeline. For custom code (e.g., code that's not reused via a library), one can rely (in addition to auto-vectorization) on an extended Array Notation incl. elemental functions (kernels) to explicitly vectorize at a higher level compared to ISA-specific intrinsic functions.
Intel® Math Kernel Library
Intel® Fortran Composer XE 2013 for Linux*, Update 2
Intel® Fortran Composer XE 2013 includes the latest Intel Fortran compilers and performance libraries for IA-32, Intel® 64, and Intel® Many Integrated Core (Intel® MIC) architecture systems. This new product release now includes: Intel® Fortran Compiler XE Version 13.1, Intel® Debugger Version 13.0, Intel® Math Kernel Library (Intel® MKL) Version 11.0 Update 2
New in this release:
Intel® Math Kernel Library(Intel® MKL) 11.0 for Linux*, Update 2
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 require maximum performance. The Intel MKL 11.0 Update 2 packages are now ready for download.
Intel® Math Kernel Library(Intel® MKL) 11.0 for Windows*, Update 2
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 require maximum performance. The Intel MKL 11.0 Update 2 packages are now ready for download.
MKL VSL example for grouppooledcovariance (vsldgrouppooledcovariance.f) failed with PGI threading layer.
Problem Description:
Grouppooledcovariance example crashs with segmentation fault with PGI threading layer on all platforms due to error in PGI support of OpenMP order clause.
We can see this example “vsldgrouppooledcovariance.f” into the following directory MKL_ROOT>\examples\vslf\source\". This example shows how to calculates of group/poopled covariances.
The issue number is DPD2002622493
Root Cause:
面向英特尔® 至强融核™ 协处理器的数学核心库自动卸载
概述
英特尔® 数学核心库 (MKL) 具备一项独特的全新自动卸载 (AO) 功能，支持用户代码中调用的计算密集型英特尔® MKL 函数自动、透明地受益于附加的英特尔® 至强融核™ 协处理器。这一特殊功能支持用户利用协处理器提供的额外计算资源，同时无需更改他们代码中的英特尔 MKL 调用，也无需修改他们的编译和链接方式。AO支持编程人员使用他们所熟悉的使用模型，同时享受从多核到大量内核的性能提升。
Free Intel C++ Compilers for Students, and related parallel programming tools.
I came across this offer - and thought it worth passing along...
Students at degree-granting institutions are eligible for free Intel C++ tools (and discounts on Fortran tools.)
Linux, Windows and Mac OS versions available.
Optimize Financial Applications using Intel® Math Kernel Library
Intel® Math Kernel Library (Intel® MKL) contains a wealth of highly optimized math functions that are fundamental to a wide variety of Financial Applications. Intel MKL uses Industry Standard interfaces and can be easily integrated into your current application framework. The Webinar provides an overview of Intel MKL to accelerate financial applications. Topics include:
Webinar: Get Ready for Intel® Math Kernel Library on Intel® Xeon Phi™ Coprocessors
Intel recently unveiled the new Intel® Xeon Phi™ product – a coprocessor based on the Intel® Many Integrated Core architecture. Intel® Math Kernel Library (Intel® MKL) 11.0 introduces high-performance and comprehensive math functionality support for the Intel® Xeon Phi™ coprocessor. You can download the audio recording of the webinar and the presentation slides from the links below.
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