Article

Beginning Hybrid MPI/OpenMP Development

A guide for getting started combining MPI and OpenMP in one program. Code samples are included.
Authored by James T. (Intel) Last updated on 08/02/2018 - 06:21
Article

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.
Authored by Sunny G. (Intel) Last updated on 03/11/2019 - 13:17
Article

TensorFlow* Sample Codes for Distributed Image Classification

The TensorFlow* image classification sample codes below describe a step-by-step approach to modify the code in order to scale the deep learning training across multiple nodes of HPC data centers.

Authored by Michael Steyer (Intel) Last updated on 03/11/2019 - 13:17
Blog post

Parallel Universe Magazine #12: Advanced Vectorization

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

Authored by Last updated on 07/03/2019 - 20:08
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.
Authored by Gennady F. (Blackbelt) Last updated on 07/05/2019 - 14:54
Article

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.
Authored by Jeremy Siadal (Intel) Last updated on 07/06/2019 - 11:10
Article

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.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
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.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
Article

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.
Authored by Mike P. (Intel) Last updated on 07/06/2019 - 16:40