1.75-hour training video posted by Argonne National Labs details Machine Learning and Deep Learning solutions including oneAPI and Intel® FPGAs

A new training video that was part of the Argonne National Laboratory’s Training Program on Extreme Scale Computing in late 2019 is now available for viewing on YouTube. Presented by Technical Solution Specialist James Moawad and System Architect for HPC and Analytics Greg Nash of Intel, the video dives into the various compute resources for Machine Learning (ML) and Deep Learning (DL) available from Intel. The video also covers two significant ML and DL software efforts: the Intel® Distribution of openVINO™ and the oneAPI initiative. (For more information about the oneAPI initiative, see “Intel’s One API will allow you to write code once, then target many processing resources: CPUs, GPUs, FPGAs, AI engines” and “Intel announces open oneAPI initiative and development beta release with Data Parallel C++ language for programming CPUs, GPUs, FPGAs, and other accelerators.”)

This new video is nearly two hours long, so this is your chance to get a detailed introduction to these ML and DL development tools and processors from a couple of experts, right at your desktop.

Here’s the video:

 

 

 

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Published on Categories DL, ML, oneAPITags , ,
Steven Leibson

About Steven Leibson

Be sure to add the Intel Logic and Power Group to your LinkedIn groups. Steve Leibson is a Senior Content Manager at Intel. He started his career as a system design engineer at HP in the early days of desktop computing, then switched to EDA at Cadnetix, and subsequently became a technical editor for EDN Magazine. He’s served as Editor in Chief of EDN Magazine and Microprocessor Report and was the founding editor of Wind River’s Embedded Developers Journal. He has extensive design and marketing experience in computing, microprocessors, microcontrollers, embedded systems design, design IP, EDA, and programmable logic.