Beginning Hybrid MPI/OpenMP Development

A guide for getting started combining MPI and OpenMP in one program. Code samples are included.
作者: James T. (Intel) 最后更新时间: 2018/08/02 - 06:21

Parallel Universe Magazine #12: Advanced Vectorization

This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:

作者: 最后更新时间: 2019/07/03 - 20:08

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.
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/07/05 - 14:54

Create an RPM package to install Intel® Cluster Ready requirements

Explains how to create an RPM metapackage for the Intel® Cluster Ready architecture specification. The RPM is dependent on libraries and binaries required by the specification so that their installation can be automated.
作者: Jeremy Siadal (Intel) 最后更新时间: 2019/07/06 - 11:10

Code Sample: Allocate Memory Efficiently on an Intel® Xeon Phi™ Processor

How to efficiently use Multi-Channel DRAM (MCDRAM) and synchronous dynamic random-access memory.
作者: Mike P. (Intel) 最后更新时间: 2019/07/06 - 16:40

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.
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/07/06 - 16:30

Code Sample: Exploring MPI for Python* on Intel® Xeon Phi™ Processor

Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/07/06 - 16:30

BigDL – Scale-out Deep Learning on Apache Spark* Cluster

Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
作者: Sunny G. (Intel) 最后更新时间: 2019/03/11 - 13:17

Building FreeFEM++ with Intel® Software Tools for Developers

FreeFEM++ is a package that targeted for researchers who needs a powerful tool for solving partial differential equations.

作者: Dmitry S. (Intel) 最后更新时间: 2019/07/08 - 15:03