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

Debug Intel® Transactional Synchronization Extensions

If printf or fprintf functions cause transaction aborts, use Intel® Processor Trace as a work-around.
作者: Roman Dementiev (Intel) 最后更新时间: 2019/07/04 - 17:00
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.
作者: Nguyen, Loc Q (Intel) 最后更新时间: 2019/07/06 - 16:30
Article

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.
作者: Thai Le (Intel) 最后更新时间: 2019/07/07 - 11:13
Article

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.
作者: Thai Le (Intel) 最后更新时间: 2019/07/07 - 11:14
Article

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.
作者: Kelly L. (Intel) 最后更新时间: 2019/07/03 - 19:50
Article

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.
作者: John M. (Intel) 最后更新时间: 2019/07/06 - 19:22
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.

作者: Michael Steyer (Intel) 最后更新时间: 2019/03/11 - 13:17