Code Sample: Exploring MPI for Python* on Intel® Xeon Phi™ Processor

Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
Authored by Nguyen, Loc Q (Intel) Last updated on 12/09/2019 - 12:20

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 Last updated on 07/03/2019 - 20:00

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

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.
Authored by Last updated on 10/15/2019 - 15:30
Blog post

N-Body Simulation Project at Cal Poly

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...
Authored by Nguyen, Loc Q (Intel) Last updated on 09/30/2019 - 16:50

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

Case Study: Optimized Code for Neural Cell Simulations

One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
Authored by Last updated on 10/03/2019 - 07:55

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

What is Code Modernization?

Modern high performance computers are built with a combination of resources including:

Authored by Mike P. (Intel) Last updated on 10/15/2019 - 15:30

How to use the MPI-3 Shared Memory in Intel® Xeon Phi™ Processors

Code Sample included: Learn how to use MPI-3 shared memory feature using the corresponding APIs on the Intel® Xeon Phi™ processor.
Authored by Nguyen, Loc Q (Intel) Last updated on 10/15/2019 - 15:30

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