Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
作者: 最后更新时间: 2019/07/31 - 14:30
博客

Parallel Universe Magazine #12: Advanced Vectorization

This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:

作者: 最后更新时间: 2019/07/03 - 20:08
Article

Fast Gathering-based SpMxV for Linear Feature Extraction

This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
作者: 最后更新时间: 2018/12/12 - 18:00
博客

Can You Write a Vectorized Reduction Operation?

I can. And if you read this post you will also be able to write one, too. (Might be a cool party trick or a sucker bet to make a little cash.)
作者: Clay B. (Blackbelt) 最后更新时间: 2018/12/12 - 18:08
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.
作者: 最后更新时间: 2019/07/03 - 20:00
File Wrapper

Parallel Universe Magazine - Issue 19, September 2014

作者: 管理 最后更新时间: 2018/12/12 - 18:08
File Wrapper

Parallel Universe Magazine - Issue 22, September 2015

作者: 管理 最后更新时间: 2018/12/12 - 18:08
File Wrapper

Parallel Universe Magazine - Issue 24, March 2016

作者: 管理 最后更新时间: 2018/12/12 - 18:08
Article

Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)

    The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/03/21 - 03:01
File Wrapper

Parallel Universe Magazine - Issue 28, April 2017

作者: 管理 最后更新时间: 2019/09/30 - 16:45