Video

Knights Landing – An Overview for Developers

In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)

Authored by admin Last updated on 03/21/2019 - 12:08
Video

Migrating Applications from Knights Corner to Knights Landing

This video describes how you can migrate applications from the Intel® first generation Xeon Phi product family (Knights Corner), to the Intel® second generation Xeon P

Authored by Michael Greenfield (Intel) Last updated on 03/21/2019 - 12:08
Video

What is Code Modernization?

The Intel® Modern Code Zone has multiple resources that can be used to learn or review, and get even deeper knowledge of Code Modernization, Optimization techniques, a

Authored by Gerald M. (Intel) Last updated on 12/12/2018 - 18:00
Video

Code Modernization: A Personal Approach

Intel® Software Black Belt Asaf Shelly discusses the various challenges inherent for modern code developers when choosing amongst the various available techniques to increase code performance.

Authored by Last updated on 12/12/2018 - 18:00
Video

Profiling Memory-Bound Applications Using Intel® VTune™ Amplifier (Part 1)

Compile applications on Intel® Xeon Phi™ processors and use Intel® Vtune™ Amplifier to quickly identify memory issues.

Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 17:07
Video

什么是代码现代化?

英特尔® 现代代码专区具有多种资源,可帮助您学习或回顾,并深入了解代码现代化、优化技术和多层并行性。

代码现代化表示一种编写可扩展代码的方式,通过使用多级并行性充分利用现代硬件的性能。

更多信息敬请访问英特尔® 现代代码专区

Authored by IDZSupport K. Last updated on 01/17/2019 - 21:46
Video

Optimize Machine Learning Workloads on Intel® Platforms

Speaker: Ryo Asai, Colfax International

Authored by admin Last updated on 03/05/2019 - 15:48
Video

Scale Deep Learning

Speaker: Mark O'Connor, Allinea Software

Authored by admin Last updated on 03/05/2019 - 15:48
Video

Data Analytics and Simulation in Parallel with MATLAB*

Speaker: Joseph Martin, MathWorks*

Authored by admin Last updated on 03/05/2019 - 15:48
Video

Accelerating Scikit-learn with the Intel® DAAL Performance Library

Get high performance Python at your fingertips with the free Intel® Distribution for Python, and experience faster scikit-learn for your machine learning workflo

Authored by Gerald M. (Intel) Last updated on 06/04/2019 - 08:22