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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, the theory of the strong interactions of subatomic physics. This article provides instructions for code access, build, and run directions for the “ks_imp_rhmc” application on Intel® Xeon® processors and Intel® Xeon Phi™ processors.
Criado por Smahane D. (Intel) Última atualização em 01/03/2017 - 12:59
Forum topic

Cycling an unnamed do concurrent loop

Hi,

why isn't the compiler associating the following cycle statement with the appropriate do concurrent loop?:

Criado por zp3 Última atualização em 01/03/2017 - 13:14
Article

Installing Intel® Performance Libraries and Intel® Distribution for Python* via popular Linux* package managers

Select Version for Download Instructions

Developers can now easily access the following Intel® Software Development Tools through several Linux* package managers at no cost:

Criado por Gergana S. (Intel) Última atualização em 01/03/2017 - 12:44
Article

Installing Intel® Performance Libraries and Intel® Distribution for Python* Using APT Repository

This page provides general installation and support notes about the Community forum supported Intel® Performance Libraries and Intel® Distribution for Python* as they are distributed via the APT re

Criado por Gergana S. (Intel) Última atualização em 01/03/2017 - 12:43
Página de destino responsiva

High Performance Computing (HPC) Webinars

Criado por administrar Última atualização em 01/03/2017 - 12:36
Evento

High-Performance Machine Learning and Data Science with Julia and Intel® Math Kernel Library

Find out how Julia is fast becoming a language of choice for high-performance and high-scalability applications in Machine Learning and Deep Learning.
Criado por administrar Última atualização em 01/03/2017 - 12:33
Evento

CPUs, GPUs, FPGAs: Managing the Alphabet Soup with Intel® Threading Building Blocks

Find out how Intel® TBB can help you address the multi-core performance challenges of today’s heterogeneous compute landscape. Easily.
Criado por administrar Última atualização em 01/03/2017 - 12:31
Evento

Accelerate Application Performance with OpenMP* and SIMD Parallelism

Using the OpenMP* programming model, we’ll work on and optimize sample multi-threaded code, and illustrate best practices for efficiency and speed ups.
Criado por administrar Última atualização em 01/03/2017 - 12:30
Evento

Parallel STL: Boosting Application Performance with Standard C++ Algorithms

Intel engineers will describe implementation of Parallel STL—the C++ Standard Template Library—based on OpenMP* pragmas & the Intel® TBB library.
Criado por administrar Última atualização em 01/03/2017 - 12:28
Evento

HPC Applications Need High-Performance Analysis

Explore HPC performance characterization analysis to gain actionable insight into how efficiently compute-intensive applications use system resources.
Criado por administrar Última atualização em 01/03/2017 - 12:26
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