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Intel® AVX2 optimization in Intel® MKL

The specific optimization and general support for the latest Intel® AVX2 instructions have been added in the Intel MKL v11.0. This article lists the specific functions that are optimized for Intel AVX2.
Authored by Last updated on 10/15/2019 - 16:50
Article

How Intel® Advanced Vector Extensions 2 Improves Performance on Server Applications

The latest Intel® Xeon® processor E5 v3 family includes a feature called Intel® Advanced Vector Extensions 2 (Intel® AVX2), which can potentially improve application performance related to

Authored by Thai Le (Intel) Last updated on 10/15/2019 - 20:18
Article

Diagnostic 15532: Loop was not vectorized: compile time constraints prevent loop optimization

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

Authored by Devorah H. (Intel) Last updated on 07/05/2019 - 14:23
Article

Understanding NUMA for 3D Isotropic Finite Difference (3DFD) Wave Equation Code

This article demonstrates techniques that software developers can use to identify and fix NUMA-related performance issues in their applications.
Authored by Sunny G. (Intel) Last updated on 10/02/2019 - 16:18
Article

Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Authored by David M. Last updated on 10/15/2019 - 15:30
Article

Fine-Tuning Optimization for a Numerical Method for Hyperbolic Equations Applied to a Porous Media Flow Problem with Intel® Tools

This paper presents an analysis for potential optimization for a Godunov-type semi-discrete central scheme, for a particular hyperbolic problem implicated in porous media flow, using OpenMP* and Intel® Advanced Vector Extensions 2.
Authored by cabral, frederico Last updated on 07/03/2019 - 20:00
Article

Improve Vectorization Performance with Intel® AVX-512

See how the new Intel® Advanced Vector Extensions 512CD and the Intel AVX512F subsets (available in the Intel® Xeon Phi processor and in future Intel Xeon processors) lets the compiler automatically generate vector code with no changes to the code.
Authored by Alberto V. (Intel) Last updated on 07/08/2019 - 19:26
Article

Quick Analysis of Vectorization Using Intel® Advisor

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.
Authored by Alberto V. (Intel) Last updated on 09/30/2019 - 17:28
Article

Implementing a Masked SVML-like Function Explicitly in User-Defined Way

The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions

Authored by Last updated on 07/16/2019 - 08:37
Article

Recipe: Building and Running MILC on Intel® Xeon® Processors and Intel® Xeon Phi™ Processors

MILC software represents a set of codes written by the MIMD Lattice Computation collaboration used to study quantum chromodynamics. This article provides instructions for code access, build and run directions for the “ks_imp_rhmc” application on Intel® Xeon® Gold and Intel® Xeon Phi™ processors for better performance on a single node.
Authored by Smahane Douyeb. (Intel) Last updated on 10/30/2019 - 10:41