Parallelize loops with Intel® Threading Building Blocks using Intel® C++ Compiler for lambda expressions.
Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Learn how to use Offload over Fabric software for a server migration path.
Find out how to use the command-line interface in Intel® Advisor 2017 for a quick, initial analysis of loop performance that gives an overview of the hotspots in your code.
The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions
Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
Array Shape Check: New in Intel® Fortran Compiler 19.0
The Intel® C++ Compiler 19.0 and the Intel® Fortran Compiler 19.1 support the OpenMP* SIMD SCAN feature for inclusive and exclusive scans.