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Improve Vectorization Performance with Intel® AVX-512

See how the new Intel® Advanced Vector Extensions 512CD and the Intel AVX512F subsets (available in the Intel® Xeon Phi processor and in future Intel Xeon processors) lets the compiler automatically generate vector code with no changes to the code.
Criado por Alberto V. (Intel) Última atualização em 08/07/2019 - 19:26
Mensagem de blog

Optimization of Particle-in-Cell Plasma Simulation

CFHall is a plasma simulation code based on a particle-in-cell (PIC) method. PIC codes combine the finite difference approach with "superparticles" for particle distribution modeling.

Criado por Andrey Vladimirov Última atualização em 30/09/2019 - 16:50
Mensagem de blog

Track Reconstruction with Deep Learning at the CERN CMS Experiment

This blog post is part of a series that describes my summer school project at CERN openlab.

Criado por Última atualização em 30/09/2019 - 16:50
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CPUs are set to dominate high end visualization

Criado por James R. (Blackbelt) Última atualização em 30/09/2019 - 17:28
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Monte-Carlo simulation on Asian Options Pricing

This is an exercise in performance optimization on heterogeneous Intel architecture systems based on multi-core processors and manycore (MIC) coprocessors.
Criado por Mike P. (Intel) Última atualização em 30/09/2019 - 17:28
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Direct N-body Simulation

Exercise in performance optimization on Intel Architecture, including Intel® Xeon Phi™ processors.
Criado por Mike P. (Intel) Última atualização em 30/09/2019 - 17:28
Article

Quick Analysis of Vectorization Using Intel® Advisor

Find out how to use the command-line interface in Intel® Advisor 2017 for a quick, initial analysis of loop performance that gives an overview of the hotspots in your code.
Criado por Alberto V. (Intel) Última atualização em 30/09/2019 - 17:28
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Analyzing GTC-P APEX code using Intel® Advisor on an Intel® Xeon Phi™ processor

Introduction
Criado por Munara T. (Intel) Última atualização em 15/10/2019 - 15:30
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Intel® Xeon Phi™ Processor 7200 Family Memory Management Optimizations

This paper examines software performance optimization for an implementation of a non-library version of DGEMM executing on the Intel® Xeon Phi™ processor (code-named Knights Landing, with acronym K

Criado por Última atualização em 15/10/2019 - 15:30