Improving the performance of software applications is a constant challenge for software developers in the Oil and Gas industry.
This webinar teaches you about Vectorization, what it is and why you should care about it as a software developer.
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++.
Intel® SDLT is a library shipped starting from Intel® C++ Compiler 16.0 Update 1.
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)
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.