Intel® Compiler vectorization features are improving its capabilities continuously through utilizing STL vectors, indirect addressing, multi-dimensional arrays, and SIMD of OpenMP* 4.0.
James Reinders Intel Chief Evangelist, talks about Code Modernization and how software developers can take full advantage of parallelism to achieve best performance ba
Multi-level parallelism with OpenMP* deserves your consideration—even if you've rejected it in the past. OpenMP nesting is turned off by default by most implementations.
Learn how to optimize some difficult loops with Intel® compilers for Fortran*, C, and C++.
In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)
This talk on November 15, 2015 by Kent Milfeld of the Texas Advanced Computing Center, University of Texas at Austin, describes what you can do with the Intel® Compiler that you cannot yet do in Op
This introductory video is a step-by-step guide to optimizing your applications with Intel® C++ and Fortran Compilers.
Reach new heights with the new Intel® Parallel Studio XE.
The Intel’s 2nd generation Xeon Phi™ processor family x200 product (code-name Knights Landing) brings in new memory technology, a high bandwidth on package memory called Multi-Channel DRAM (MCDRAM)
We will describe, with C and Fortran examples, new opportunities for performance-enhancing vectorization provided by the Intel® AVX-512 instruction set on the processor code named Knights Landing.