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
Mensajes en el blog

Debug Intel® Transactional Synchronization Extensions

If printf or fprintf functions cause transaction aborts, use Intel® Processor Trace as a work-around.
Autor Roman Dementiev (Intel) Última actualización 04/07/2019 - 17:00

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

Intel® ISA-L: Semi-Dynamic Compression Algorithms

DEFLATE compression algorithms traditionally use either a dynamic or static compression table, with tradeoffs in processing time. The Intel® Intelligent Storage Acceleration Library (Intel® ISA-L) semi-dynamic compression comes close to getting the best of both worlds. Learn how.
Autor Thai Le (Intel) Última actualización 07/07/2019 - 11:13

Code Sample: Intel® ISA-L Erasure Code and Recovery

Here is a code sample that will help you get started in reducing your storage application's latency with Intel ISA-L erasure coding, using Reed Solomon error correction.
Autor Thai Le (Intel) Última actualización 07/07/2019 - 11:14

Code Sample: Panaconda - A Persistent Memory Version of the Game "Snake"

A persistent memory version of the game Snake that demonstrates features from the PMDK, including pools, pointers, and transactions.
Autor Kelly L. (Intel) Última actualización 03/07/2019 - 19:50

Building the GNU* Multiple Precision* library for Intel® Software Guard Extensions

How to adapt the GNU Multiple Precision Arithmetic Library (GMP) to work in Intel SGX enclaves.
Autor John M. (Intel) Última actualización 06/07/2019 - 19:22

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.

Autor Michael Steyer (Intel) Última actualización 11/03/2019 - 13:17