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.
Autor Gennady F. (Blackbelt) Última actualización 05/07/2019 - 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.
Autor Jeremy Siadal (Intel) Última actualización 06/07/2019 - 11:10
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.
Autor Mike P. (Intel) Última actualización 06/07/2019 - 16:40
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.
Autor Nguyen, Loc Q (Intel) Última actualización 06/07/2019 - 16:30
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.
Autor Nguyen, Loc Q (Intel) Última actualización 06/07/2019 - 16:30
Article

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.

Autor Dmitry S. (Intel) Última actualización 08/07/2019 - 15:03