Tackling Massive Scientific Challenges with AI/HPC Convergence – Intel Chip Chat – Episode 661

Image for FaceBook

Share this post:
Facebook | Twitter | Google+ | LinkedIn | Pinterest | Reddit | Email
This post can be linked to directly with the following short URL:

The audio player code can be copied in different sizes:
144p, 240p, 360p, 480p, 540p, Other

The audio player code can be used without the image as follows:

This audio file can be linked to by copying the following URL:

Right/Ctrl-click to download the audio file.
Connected Social Media - iTunes | Spotify | Google | Stitcher | TuneIn | Twitter | RSS Feed | Email
Intel - iTunes | Spotify | RSS Feed | Email
Intel Chip Chat - iTunes | Spotify | RSS Feed | Email

In this Intel Conversations in the Cloud audio podcast: Brandon Draeger, Senior Director of Product Marketing at Cray, joins Chip Chat to discuss the unique needs of HPC customers and how new Intel technologies in Cray systems are helping to deliver improved performance and scalability.

The Cray CS500 supercomputer includes standard rack configurations, a variety of cooling options, and a flexible software stack for users who are still investigating HPC deployments or just starting out. The XC50 that is more customizable with higher bin CPUs, accelerators, and custom interconnects as well as deployment support from Cray. Both lines are built to meet the core challenges facing HPC customers today.

More and more, we are seeing the convergence of AI and HPC – users investigating how they can use AI to complement what they are already doing with their HPC workloads. This includes using machine and deep learning to analyze results from a simulation, or using AI techniques to steer where to take a simulation on the fly.

One of the 2nd Generation Intel Xeon Scalable processor features that Brandon is excited about is Intel Deep Learning Boost, which accelerates deep learning inference performance. Cray sees this as benefitting customers like those working with cryo-microscopy – taking hundreds of thousands of images at the structural level to test things like new drug treatments. Cryo-microscopy consumes a lot of memory, but is boosted by the improved DL inference performance.

Brandon finishes his visit by discussing the upcoming Aurora exascale class system targeted for delivery to Argonne National Lab in 2021. It will feature future Intel technologies, as well as the Cray Shasta architecture to tackle the most mind-boggling human challenges.

For more information, visit:

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:

Tags: , , , , , , , , , , , ,
Posted in: Artificial Intelligence, Audio Podcast, Intel, Intel Chip Chat