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

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