Library for Data Center Technologies

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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. The detailed descriptions of each step are part of...

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

Published on October 3, 2018By John M.

How to adapt the GNU Multiple Precision Arithmetic Library (GMP) to work in Intel SGX enclaves.

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.

ISA-L Erasure Coding

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

Published on March 23, 2017By Thai Le

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.

ISA-L Compress-Deflate algorithm

Intel® ISA-L: Semi-Dynamic Compression Algorithms

Published on December 29, 2016, updated February 9, 2017By Thai Le

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.

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.

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...

High Performance DEFLATE Compression with Optimizations for Genomic Data Sets

Published on May 21, 2014

By Jim Guilford, Vinodh Gopal, Sean Gulley and Wajdi Feghali



igzip is a high-performance library for performing gzip or DEFLATE compression. It was initially described in “High Performance DEFLATE Compression on Intel...