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Intel® MKL with NumPy, SciPy, MATLAB, C#, Python, NAG and More

The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
Autor Gennady F. (Blackbelt) Última actualización 23/06/2019 - 18:50
Article

Intel® Platform Analysis Library Metrics Framework Release Notes

Click "Download Now" below to obtain and view Intel® Platform Analysis Library Metrics Framework release notes.

Autor Última actualización 23/06/2019 - 18:50
Article

Intel® Platform Analysis Library Metrics Framework User Guide

Click "Download" below to obtain and view Intel® Platform Analysis Library Metrics Framework User Guide

Autor Última actualización 23/06/2019 - 18:50
Mensajes en el blog

Corona SDK Game Developers Guide for Android* Devices

Introduction:    

Autor Rylee, Michael J (Intel) Última actualización 23/06/2019 - 19:10
Mensajes en el blog

The Core Software Strategy - 9 Years Old and Still True!

I can safely predict that if you are a developer, you are looking for ways to get your job done faster. Get working code quicker, find bugs faster, take advantage of new technologies and get working performance as smoothly as possible. This is why the saying "steal with pride" comes up --it's a well-worn technique to borrow or adopt code where you can. (Of course, I'm not saying you would commit...
Autor David S. (Blackbelt) Última actualización 23/06/2019 - 19:10
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

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

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 - 14:55
Mensajes en el blog

The New Issue of The Parallel Universe is Out: Supercharging Python* for Open Data Science

The open source progr

Autor Sally Sams (Intel) Última actualización 31/12/2018 - 15:00
Article

ASTRO - The Robot solution for a Safer and more Productive Workplace

1. Robots and ASTRO
Autor Silviu-Tudor Serban Última actualización 23/06/2019 - 18:50
Mensajes en el blog

Modernizing Software with Future-Proof Code Optimizations

by Henry A. Gabb, Sr. Principal Engineer, Intel Software and Services Group

Autor Henry Gabb (Intel) Última actualización 06/07/2019 - 17:10