SHREC is comprised of more than 30 industry, government and academic partners working together to solve research challenges in missions and applications that drive and can benefit from reconfigurable, high-performance and reliable computing. For the AI Challenge, the SHREC team was recognized for developing and demonstrating a heterogeneous computing (HGC) system that can support a complete workflow–data analysis and pre-processing, model training, deployment and inferencing–for machine learning and be applied to any application domain leveraging machine learning, including healthcare, business, finance, science exploration and more.

"For the AI Challenge, our team leveraged CERN OpenLab datasets to determine the performance of the HGC workflow with CPUs, GPUs and FPGAs for machine learning. The study showed performance gains of 1.45-2.22x," said Chao Jiang, Ph.D. student leader of the team. "These early results were promising, and we are continuing to experiment with more complex 3D-image based techniques such as volumetric segmentation with 3D U-net to improve performance, as well as 3D GAN for accelerated particle-simulation."

Dell EMC at SC18

To learn more about the Dell EMC HPC portfolio, technology partners and customers, stop by its SC18 booth #3218 at the Kay Bailey Hutchison Convention Center.

Availability

• Dell EMC Ready Solution for HPC Lustre Storage on ME4 and Dell EMC Ready Solution for HPC NFS Storage on PowerVault ME4 available now.
• Dell EMC PowerEdge R640, R740, R740xd and R7425 servers have planned support for NVIDIA® Tesla® T4 Tensor Core GPUs in the first quarter of 2019 and Xilinx^® Alveo™ U200 FPGAs in December 2018.

Customer quotes

Dan Stanzione, executive director, Texas Advanced Computing Center, The University of Texas at Austin
"Frontera represents our third top 10 and fifth top 25 system we have deployed in partnership with Dell EMC. The success we have had together reflects our close collaboration and a deep relationship, with attention to every detail, that lets us repeatedly deploy at the cutting edge of technology on time and on budget. With this new machine, we will further push the frontiers of science, offering researchers an instrument with capabilities they have never had before."

Paul Calleja, director of High Performance Computing, University of Cambridge
"Conventional HPC clustering techniques present pre-configured static resource pools which, for the most part, satisfy a limited yet important set of users. By enabling a cloud paradigm, including bare-metal, the benefits of a software-defined infrastructure encompass conventional HPC clustering, without sacrificing performance, and provide additional agility in support of modern hybrid cloud-enabled workflows. We are witnessing considerable user growth in such new workflows, and Cumulus enables our users with easier access to HPC and HPDA class computing in a secure and flexible environment. Working with Dell EMC and partners has culminated in one of the most computationally and i/o efficient resources in the UK."

Brock Palen, director, Advanced Research Computing – Technology Services (ARC-TS), University of Michigan
"We're thrilled to be working with Dell EMC. Users of Great Lakes will have access to more cores, faster cores, faster memory, faster storage and a more balanced network. This new cluster will ultimately provide improved performance, flexibility, and reliability for U-M researchers."

David Hudak, Ph.D., executive director, Ohio Supercomputer Center
"We worked with Dell EMC to create the Pitzer Cluster, a highly efficient, dense and flexible petaflop-class system. This valuable new addition to our data center allows OSC to continue addressing the growing computational, storage and analysis needs of our client communities in academia, science and industry."

James Lowey, CIO, TGen
"One of the keys to Precision Medicine is being able to analyze the human genome, find abnormalities, then target them with specific treatments. Data sets using multiple inputs are becoming so massive, we must rely on Artificial Intelligence (AI) to help make sense of it all.  Dell Technologies is a critical partner as we push the science forward, and Dell EMC Isilon gives us a simple scale-out solution to manage and consume petabytes of data and to expedite genome processing from weeks to hours.  When it comes to research that saves lives, where seconds matter, we rely on Dell EMC."

Additional resources

• For additional information on Dell EMC in HPC, including customer testimonials, videos and more, please visit www.dellemc.com/hpc
• Connect with Dell EMC via  Twitter,  Facebook,  YouTube,  LinkedIn and  DECN

About Dell EMC

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