FPGA
FPGAs and Programmable Solutions
170 Discussions

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

sleibson
Employee
0 0 25
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...” and “Intel announces open oneAPI initiative and development beta release with Data Parallel C++ language ....”)

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:

 

https://youtu.be/Ze3JQnkOz_E

 

 

Legal Notices and Disclaimers:

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Results have been estimated or simulated using internal Intel analysis, architecture simulation and modeling, and provided to you for informational purposes. Any differences in your system hardware, software or configuration may affect your actual performance.

Intel does not control or audit third-party data. You should review this content, consult other sources, and confirm whether referenced data are accurate.

Cost reduction scenarios described are intended as examples of how a given Intel- based product, in the specified circumstances and configurations, may affect future costs and provide cost savings.

Circumstances will vary. Intel does not guarantee any costs or cost reduction.

© Intel Corporation. Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.

Altera is a trademark of Intel Corporation or its subsidiaries.

Cyclone is a trademark of Intel Corporation or its subsidiaries.

Other names and brands may be claimed as the property of others.

 

 

 

 

 

 
Tags (3)