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DTSTART;TZID=America/Chicago:20251116T163000
DTEND;TZID=America/Chicago:20251116T163600
UID:submissions.supercomputing.org_SC25_sess220_ws_eduhpcl105@linklings.co
 m
SUMMARY:From CPU to GPU: Transforming STEM Education with Parallelism
DESCRIPTION:Sriram Srinivasan, Hamdan Alabsi, Rand Obeidat, Nithisha Ponna
 la, and Azene Zenebe (Bowie State University)\n\nGraphics Processing Units
  (GPUs) have become essential in accelerating artificial intelligence work
 loads. We developed and implemented a hands-on, lab-intensive Special Topi
 cs course in GPU programming for undergraduate and graduate STEM students.
  This paper describes the course design, pedagogy, lessons learned, studen
 t feedback, and recommendations for integrating GPU programming into STEM 
 curricula.\n\nRecording: Livestreamed, Recorded\n\nRegistration Category: 
 Technical Program Reg Pass, Workshop Reg Pass\n\nSession Chairs: Erik Saul
 e (University of North Carolina at Charlotte), Sushil K. Prasad (Universit
 y of Texas at San Antonio), David P. Bunde (Knox College), and Suzanne J. 
 Matthews (United States Military Academy)\n\n
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