Article

Hybrid Parallelism: A MiniFE* Case Study

This case study examines the situation where the problem decomposition is the same for threading as it is for Message Passing Interface* (MPI); that is, the threading parallelism is elevated to the same level as MPI parallelism.
Criado por David M. Última atualização em 15/10/2019 - 16:40
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Something Old to be New Again?

In the past couple of years I've noticed a trend to "re-invent" technology or re-brand old ideas and concepts from previous computing generations.

Criado por Clay B. (Blackbelt) Última atualização em 05/03/2019 - 23:48
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The Unfairness of Good Syntax

The unfairness of good syntax - bad syntax is a problem; good syntax is not a solution.
Criado por Última atualização em 04/07/2019 - 11:17
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Big Datasets from Small Experiments

Criado por Andrey Vladimirov Última atualização em 04/07/2019 - 18:46
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Brain Development Simulation, 300x Faster

Criado por Andrey Vladimirov Última atualização em 04/07/2019 - 17:45
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Track Reconstruction with Deep Learning at the CERN CMS Experiment

Connecting the Dots
Criado por Última atualização em 12/12/2018 - 18:00
Article

Performance of Classic Matrix Multiplication Algorithm on Intel® Xeon Phi™ Processor System

Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
Criado por Última atualização em 15/10/2019 - 15:30
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 15/10/2019 - 15:30