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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.
Criado por Última atualização em 31/07/2019 - 14:30
Article

Diagnostic 15527: loop was not vectorized: function call to xxx cannot be vectorized

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

Criado por Devorah H. (Intel) Última atualização em 25/05/2018 - 15:30
Article

What is Code Modernization?

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

Criado por Mike P. (Intel) Última atualização em 06/07/2019 - 16:30
Article

Putting Your Data and Code in Order: Data and layout - Part 2

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
Criado por David M. Última atualização em 06/07/2019 - 16:40
Article

Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Criado por David M. Última atualização em 06/07/2019 - 16:40
Mensagem de blog

Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel® TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

Criado por Sharmila C. (Intel) Última atualização em 01/08/2019 - 09:30
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.
Criado por Última atualização em 03/07/2019 - 20:00
Article

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.
Criado por Última atualização em 06/07/2019 - 16:40
File Wrapper

Parallel Universe Magazine - Issue 22, September 2015

Criado por administrar Última atualização em 12/12/2018 - 18:08