Product Version: Intel® Fortran Compiler 15.0 and a later version
This Intel® Advisor XE 2016 video explains what data alignment is and how it affects vectorization.
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
Intel® Compiler vectorization features are improving its capabilities continuously through utilizing STL vectors, indirect addressing, multi-dimensional arrays, and SIMD of OpenMP* 4.0.
The following table lists all supported versions of the Intel® MPI Library and the Intel® Composer XE. Use this as a reference on the cross-compatibility between the library and associated compile
We optimized a version of Dijkstra’s shortest path graph algorithm using a combination of Intel® Cilk™ Plus array notation and OpenMP* parallel for.
We optimized a version of a triply nested loop matrix multiplication on Linux* using the Intel® Math Kernel Library (MKL).
We optimized a version of a Taylor Series Expansion using the Intel® Compiler and Intel® Threading Building Blocks (Intel® TBB).
It's the End of the World as We Know It (And I Feel Fine)James Larus EPFL