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OSPool Project

OSG_PEARC26_ML

Principal Investigator

Daniel Morales

Organization

University of Wisconsin–Madison

Field of Science

Computer Science

Description

AI/ML Workflows Across National Cyberinfrastructure: From Cloud Prototyping to HPCTraining to Large-Scale HTC Inference with Jetstream2, Anvil, and the Open A hands-on tutorial showing how to prototype AI/ML workflows on Jetstream2, scale raining on Anvil, and run large-scale inference on the Open Science Pool @ PEARC26.
articipants will build practical CI literacy while learning how to move portable, eproducible ML workflows across cloud, HPC, and HTC resources.

5,083

Jobs Ran

1,805

CPU Core Hours

1,804

GPU Hours

19

Contributing Institutions

14,155

OSDF Objects Transferred

563 GB

OSDF Bytes Transferred

Contributing Institutions

Jobs by Institution
  • College of New Jersey — 3,866 (76.1%)
  • Portland State University — 440 (8.7%)
  • University of Wisconsin–Madison — 336 (6.6%)
  • Duke University — 114 (2.2%)
  • Colgate University — 103 (2.0%)
  • University of Illinois Urbana-Champaign — 99 (1.9%)
  • University of Notre Dame — 51 (1.0%)
  • University of Tennessee at Chattanooga — 50 (1.0%)
  • University of Arkansas at Little Rock — 4 (0.1%)
  • University of Nebraska–Lincoln — 4 (0.1%)
  • California State University, Chico — 3 (0.1%)
  • Kansas State University — 3 (0.1%)
  • Cal Poly Humboldt — 2 (0.0%)
  • Internet2 — 2 (0.0%)
  • NYSERNet (United States) — 2 (0.0%)
  • Other — 4 (0.1%)
Map of Contributing Institutions