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.
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
Video tutorial explaining how to parallelize a Pythagorean prime number finder using the Intel® Visual Fortran Compiler with OpenMP*.
This session will cover new features in the Intel® Fortran compiler version 16, part of Intel® Parallel Studio XE 2016.
Intel® Composer XE 2015 has dramatically overhauled the reporting features for such crucial optimizations as inlining, vectorization, parallelization, and memory access and cache usage optimization
The SIMD and multi-core features of modern processors enable large improvements in application performance―but only if the application is effectively optimized for parallel execution.
Intel® Compiler vectorization features are improving its capabilities continuously through utilizing STL vectors, indirect addressing, multi-dimensional arrays, and SIMD of OpenMP* 4.0.