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UID:submissions.supercomputing.org_SC23_sess291_rpost118@linklings.com
SUMMARY:A Portable Software Environment for Ultrahigh-Resolution ELM Devel
 opment on GPUs
DESCRIPTION:Franklin Eaglebarger (Pellissippi State Community College) and
  Dali Wang (Oak Ridge National Laboratory (ORNL))\n\nA software tool, call
 ed SPEL, has been developed to port and optimize and the ultrahigh-resolut
 ion ELM (uELM) code onto GPUs within a functional unit test framework. To 
 promote the widespread adoption of this approach for community-based uELM 
 development, this poster presents a portable software environment that ena
 bles efficient development of the uELM code on GPUs. The standalone softwa
 re environment, which utilizes Docker, contains all the necessary code, li
 braries, and system software required for uELM development using SPEL. The
  process involved in this study includes identifying a Docker image that s
 upports GPU, configuring and simulating ELM at the site level, capturing r
 eference solutions, testing uELM functional units, and generating and opti
 mizing code that is compatible with GPUs. The effectiveness of this method
 ology is demonstrated through a case study.\n\nTag: Artificial Intelligenc
 e/Machine Learning, Architecture and Networks, Heterogeneous Computing, I/
 O and File Systems, Performance Measurement, Modeling, and Tools, Post-Moo
 re Computing, Programming Frameworks and System Software, Quantum Computin
 g\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
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