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The Delta Gateway: Exploring Community Use of GPU Resources through a Science Gateway

Authors: Alameda, Jay; Stirm, Claire; Bauer, Gregory; Boerner, Timothy; Bode, Brett; Dahan, Maytal; Gropp, William; +27 Authors

The Delta Gateway: Exploring Community Use of GPU Resources through a Science Gateway

Abstract

What could a research team accomplish if given access to the latest GPU hardware? A molecular dynamics research team could process protein-ligand tests using 100 GPUs on Delta in about 3.6 days, a task that would take their local lab a full year using their own GPU hardware. A team exploring the wonders of cosmic rays is now part of the multi-messenger-astrophysics revolution; they can crunch ever more data with the additional resources. With the newly built Delta system, the research community will utilize the latest NVIDIA and AMD GPUs to empower their scientific exploration. In parallel with the Delta system launch, the Delta team conducted 44 interviews with research code leads and science gateway community leads. The observations and requirements discovered through these conversations, such as optimizing Delta to support AI/ML applications and scheduling, guide the system’s configuration and the design of the Delta science gateway.

Keywords

Delta, research computing, GPU, science gate-way, NCSA

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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