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Live Webinar: Boost Python* Performance with Intel® Math Kernel Library

Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
Authored by Mike P. (Intel) Last updated on 06/07/2017 - 10:28
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Achieving High-Performance Computing with The Intel® Distribution for Python*

Python* has become instrumental tool for those looking for a high productivity language for a variety of programming tasks including advanced numerical work.

Authored by WEI L. (Intel) Last updated on 06/10/2019 - 09:40
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Building Large-Scale Image Feature Extraction with BigDL at JD.com

This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL.
Authored by Jason Dai (Intel) Last updated on 05/30/2019 - 15:56
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解析京东大数据下高效图像特征提取方案

本文主要分享英特尔和京东在基于Spark*和BigDL*的深度学习技术在搭建大规模图片特征提取框架上的实战经验。

Authored by Jason Dai (Intel) Last updated on 05/30/2019 - 15:55
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Enabling Intel® MKL in PETSc applications

 
Authored by Gennady F. (Blackbelt) Last updated on 05/24/2018 - 15:48
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Deliver the Value of Analytics & AI at Scale with Intel®-optimized Open Source Software

Bring greater capacity and performance to your Data Analytics & AI at scale with open source software and Intel® Platform Technologies
Authored by Ziya M. (Intel) Last updated on 07/23/2019 - 11:34
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Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Authored by admin Last updated on 09/30/2019 - 17:28
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IDF'15 Webcast: Data Analytics and Machine Learning

This Technology Insight will demonstrate how to optimize data analytics and machine learning workloads for Intel® Architecture based data center platforms. Speaker: Pradeep Dubey Intel Fellow, Intel Labs Director, Parallel Computing Lab, Intel Corporation
Authored by Mike P. (Intel) Last updated on 10/15/2019 - 16:50
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Intel Solutions and Technologies for the Evolving Data Center

  One Stop for Optimizing Your Data Center From AI to Big Data to HPC: End-to-end Solutions
Authored by admin Last updated on 10/15/2019 - 17:00