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

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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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