The Delta Gateway: Exploring Community Use of GPU Resources through a Science Gateway
Creators
- Jay Alameda
- Claire Stirm
- Gregory Bauer
- Timothy Boerner
- Brett Bode
- Maytal Dahan
- William Gropp
- Marlon Pierce
- Cynthia Yewdall Grigorescu
- Michael Zentner
- Meghna Babbar-Sebens
- Michael Barton
- Daniele Bianchi
- Michael Bell
- Michel Boufadel
- Michael Cianfrocco
- Sean Cleveland
- Cosan Daskiran
- Kjiersten Fagnan
- Geoffrey Fox
- Eleftherios Garyfallidis
- Jerome Hajjar
- Gerhard Klimeck
- Mark Miller
- Mark Perri
- Victor Pinks II
- Mohan Ramamurthy
- Michel Regenwetter
- Amy Roberts
- Aldo Romero
- Carol Song
- Alejandro Strachan
- Ellad Tadmor
- Greg Tucker
Description
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.
Files
Gateways2022_paper_583.pdf
Files
(1.1 MB)
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