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Enabling Intel® MKL in PETSc applications

 
Criado por Gennady F. (Blackbelt) Última atualização em 24/05/2018 - 15:48
Mensagem de blog
Article

Deliver the Value of Analytics & AI at Scale with Intel®-optimized Open Source Software

Bring greater capacity and performance to your Data Analytics & AI at scale with open source software and Intel® Platform Technologies
Criado por Ziya M. (Intel) Última atualização em 23/07/2019 - 11:34
Article

Second Generation Intel® Xeon® Processor Scalable Family Technical Overview

New features and enhancements available in the second generation Intel® Xeon® processor Scalable family and how developers can take advantage of them
Criado por David Mulnix (Intel) Última atualização em 30/09/2019 - 17:28
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Criado por administrar Última atualização em 30/09/2019 - 17:28
Article

Usage Models for Cache Allocation Technology in the Intel® Xeon® Processor E5 v4 Family

A number of usage models are possible given the flexible interfaces provided by the Cache Allocation Technology (CAT) feature, including prioritization of important applications and isolation of applications to reduce interference.
Criado por Nguyen, Khang T (Intel) Última atualização em 15/10/2019 - 16:31
Article

Thread Parallelism in Cython*

Cython* is a superset of Python* that additionally supports C functions and C types on variable and class attributes. Cython generates C extension modules, which can be used by the main Python program using the import statement.
Criado por Nguyen, Loc Q (Intel) Última atualização em 15/10/2019 - 16:40
Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Criado por Gennady F. (Blackbelt) Última atualização em 15/10/2019 - 16:50
Article

Intel Solutions and Technologies for the Evolving Data Center

  One Stop for Optimizing Your Data Center From AI to Big Data to HPC: End-to-end Solutions
Criado por administrar Última atualização em 15/10/2019 - 17:00