Mensagem de blog

Introduction to OpenMP* on YouTube*

Tim Mattson (Intel) has authored an extensive series of excellent videos as in introduction to OpenMP*.

Criado por Mike P. (Intel) Última atualização em 04/07/2019 - 19:51
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The Last Line Effect

Criado por Andrey Karpov (Blackbelt) Última atualização em 30/05/2018 - 07:00
Article

Using XDM with Depth Data

Abstract
Criado por Última atualização em 18/01/2018 - 16:13
Article

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

Trending on IoT: September's Popular Developer Stories

Python* code samples, sensors, computer vision and more round our our September issue.
Criado por Carman, Vicky (Intel) Última atualização em 10/07/2018 - 08:08
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Panoply: Low-TCB Linux* Applications with Intel® SGX Enclaves (Project Site)

We present a new system called Panoply which bridges the gap between the Intel® Software Guard Extensions (Intel® SGX)-native abstractions and the standard OS abstractions which feature-rich, commo

Criado por administrar Última atualização em 01/02/2019 - 08:51
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

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