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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
Автор: Mike P. (Intel) Последнее обновление: 06.07.2019 - 16:40
Article

IDF15 - Webcast: Code Modernization Best Practices

Intel® Xeon® and Intel® Xeon Phi™ processor based platforms provide multiple levels of parallel execution resources. The amount of compute power of these resources is growing with every product generation, yet most applications do not fully utilize the available computing resources. This session will provide details on the growth in hardware resources and characterize performance using different...
Автор: Последнее обновление: 06.07.2019 - 11:37
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Vectorization Webinar

Vector-Parallel Code Modernization Webinar. Learn how to optimize some difficult loops with Intel® compilers for Fortran*, C, and C++.
Автор: админ Последнее обновление: 03.07.2019 - 19:50
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Vector-Parallel Code Modernization Webinar

Learn how to optimize some difficult loops with Intel® compilers for Fortran*, C, and C++.

Автор: Tim P. (Blackbelt) Последнее обновление: 12.12.2018 - 18:08
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Deep Learning 102: Introduction to Neural Networks

Register for the latest Deep Learning webinar. We will cover state-of-the-art accuracy in areas such as computer vision, speech recognition, & more
Автор: админ Последнее обновление: 03.07.2019 - 19:50
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How to access the Intel® Xeon Phi™ Remote Access Cluster

Learn how to get free access to Colfax's 64 node Intel® Xeon Phi™ Remote Access Cluster pre-loaded with tools and optimized software.
Автор: админ Последнее обновление: 12.12.2018 - 18:52
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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.

Автор: WEI L. (Intel) Последнее обновление: 10.06.2019 - 09:40