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Parallel Universe Magazine - Issue 22, September 2015

Authored by admin Last updated on 12/12/2018 - 18:08
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Parallel Universe Magazine - Issue 27, January 2017

Authored by admin Last updated on 10/01/2019 - 16:55
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Parallel Universe Magazine - Issue 24, March 2016

Authored by admin Last updated on 12/12/2018 - 18:08
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.
Authored by Last updated on 10/15/2019 - 15:30
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.
Authored by David M. Last updated on 10/15/2019 - 16:40
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 10/15/2019 - 15:30
Article

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
Article

Get a Helping Hand from the Vectorization Advisor

Learn practical tips for using the vectorization advisor, which is part of Intel® Advisor.
Authored by Last updated on 10/02/2019 - 15:41
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