This page contains common questions and answers on multi-threading in the Intel IPP.
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Fine-Tuning Optimization for a Numerical Method for Hyperbolic Equations Applied to a Porous Media Flow Problem with Intel® ToolsThis 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.
Programming for Multicore and Many-core Products including Intel® Xeon® processors and Intel® Xeon Phi™ X100 Product Family coprocessorsThe programming models in use today, used for multicore processors every day, are available for many-core coprocessors as well. Therefore, explaining how to program both Intel Xeon processors and Intel Xeon Phi coprocessor is best done by explaining the options for parallel programming. This paper provides the foundation for understanding how multicore processors and many-core coprocessors are...
This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
The goal of the N-Body problem is to predict the motion of a set of n objects interacting with each other by some force, e.g. the gravitational force. N-Body simulations have been used in particles simulation such as astrophysical and molecular dynamics simulations. There are a number of approaches for solving the N-Body problem, such as the Barnes-Hut algorithm, the Fast Multipole method, the...
This article demonstrates techniques that software developers can use to identify and fix NUMA-related performance issues in their applications.
One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.