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Video: How R-Systems Helps Customers Move HPC to the Cloud

In this video from the HPC User Forum in Milwaukee, Brian Kucic from R-Systems describes how the company enables companies of all sizes to move their technical computing workloads to the Cloud. “R Systems provides High Performance Computer Cluster resources and technical expertise to commercial and institutional research clients through the R Systems brand and the Dell HPC Cloud Services Partnership. In addition to our industry standard solutions, R Systems Engineers assist clients in selecting the components of their optimal cluster configuration.”

Video: The AI Initiative at NIST

Michael Garris from NIST gave this talk at the HPC User Forum. “AI must be developed in a trustworthy manner to ensure reliability and safety. NIST cultivates trust in AI technology by developing and deploying standards, tests and metrics that make technology more secure, usable, interoperable and reliable, and by strengthening measurement science. This work is critically relevant to building the public trust of rapidly evolving AI technologies.”

Mapping of the Opportunities for Government, Academia, and Industry Engagement in HPC

Mark Sims (DoD) and Bob Sorensen from Hyperion Research gave this talk at the HPC User Forum in Milwaukee. Here, they demonstrate an exciting new tool that aims to map HPC centers across the USA.

HPC Powers High Pressure Casting Simulation at Shiloh Industries

Hal Gerber from Shiloh Industries gave this talk at the HPC User Forum in Milwaukee. “Shiloh is the global leader in high-integrity, high-vacuum, high-pressure die castings, providing high ductility in aluminum and magnesium. Shiloh Industries is a global innovative solutions provider focusing on “lightweighting” technologies that provide environmental and safety benefits to the mobility market.”

A Perspective on HPC-enabled AI

Tim Barr from Cray gave this talk at the HPC User Forum in Milwaukee. “Cray’s unique history in supercomputing and analytics has given us front-line experience in pushing the limits of CPU and GPU integration, network scale, tuning for analytics, and optimizing for both model and data parallelization. Particularly important to machine learning is our holistic approach to parallelism and performance, which includes extremely scalable compute, storage and analytics.”

Accelerate Innovation and Insights with HPC and AI

Vineeth Ram from HPE gave this talk at the HPC User Forum in Milwaukee. “Organizations across all sectors are putting Big Data to work. They are optimizing their IT operations and enhancing the way they communicate, learn, and grow their businesses in order to harness the full power of artificial intelligence (AI). Backed by high performance computing technologies, AI is revolutionizing the world as we know it—from web searches, digital assistants, and translations; to diagnosing and treating diseases; to powering breakthroughs in agriculture, manufacturing, and electronic design automation.”

Video: Will HPC Move to the Cloud?

Gabriel Broner from Rescale gave this talk at the HPC User Forum. “HPC has transitioned from unique and proprietary designs, to clusters of many dual-CPU Intel nodes. Vendors’ products are now differentiated more by packaging, density, and cooling than the uniqueness of the architecture. In parallel, cloud computing has gained momentum in the larger IT industry. Intel is now selling more processors to run in the cloud than in company-owned facilities, and cloud is starting to drive innovation and efficiencies at a rate faster than on premises.”

NASA Perspectives on Deep Learning

Nikunj Oza from NASA Ames gave this talk at the HPC User Forum. “This talk will give a broad overview of work at NASA in the space of data sciences, data mining, machine learning, and related areas at NASA. This will include work within the Data Sciences Group at NASA Ames, together with other groups at NASA and university and industry partners. We will delineate our thoughts on the roles of NASA, academia, and industry in advancing machine learning to help with NASA problems.”

Development Trends of Next-Generation Supercomputers

Bob Sorensen from Hyperion Research describes an ongoing study on the Development Trends of Next-Generation Supercomputers. The project will gather information on pre-exascale and exascale systems today and through 2028 and build a database of technical information on the research and development efforts on these next-generation machines.

Pursuit of Sustainable Healthcare through Personalized Medicine with HPC

Graham Anthony from BioVista gave this talk at the HPC User Forum. “We apply our systematic discovery platform to develop our pipeline of repositioned drug candidates in neurodegenerative diseases, epilepsy, oncology and orphan diseases. We use this insight to find new uses for existing drugs or drug combinations, assess their risk profile and advance them to PoC and Clinical Phase IIa/b sooner, cheaper and with a higher probability of success than has been possible to date.”