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DTSTAMP:20260422T000712Z
LOCATION:506
DTSTART;TZID=America/Denver:20231113T161600
DTEND;TZID=America/Denver:20231113T162400
UID:submissions.supercomputing.org_SC23_sess454_ws_eduhpcp113@linklings.co
 m
SUMMARY:An NSF REU Site Based on Trust and Reproducibility of Intelligent 
 Computation:  Experience Report
DESCRIPTION:Mary Hall, Ganesh Gopalakrishnan, Harvey Dam, Artem Yadrov, Am
 ir Mohammad Tavakkoli, Johanna Cohoon, Sameeran Joshi, Aditya Bhaskara, Er
 ic Eide, Jeff Phillips, Mu Zhang, Shireen Elhabian, Tushar Kataria, and Mo
 kshagna Sai Teja Karanam (University of Utah)\n\nThis work presents an ove
 rview of an NSF Research Experience for Undergraduate Site on Trust and Re
 producibility of Intelligent Computation, delivered by faculty and graduat
 e students in the Kahlert School of Computing at University of Utah. The c
 hosen themes bring together several concerns for the future in producing c
 omputational results that can be trusted: secure, reproducible, based on s
 ound algorithmic foundations, and developed in the context of ethical cons
 iderations. The research areas represented by student projects include mac
 hine learning, high-performance computing, algorithms and applications, co
 mputer security, data science, and human-centered computing. In the first 
 four weeks of the program, the entire student cohort spent their mornings 
 in lessons from experts in these crosscutting topics, and used one-of-a-ki
 nd research platforms operated by the University of Utah, namely NSF-funde
 d CloudLab and POWDER facilities. This program can serve as a model for pr
 eparing a future workforce to integrate ML into trustworthy  reproducible 
 applications.\n\nTag: Education, Heterogeneous Computing, Reproducibility,
  State of the Practice, Sustainability\n\nRegistration Category: Workshop 
 Reg Pass\n\nSession Chairs: David P. Bunde (Knox College); Sushil K. Prasa
 d (University of Texas at San Antonio); Satish Puri (Missouri University o
 f Science and Technology); Apan Qasem (Texas State University); and George
  K. Thiruvathukal (Loyola University, Chicago; Argonne National Laboratory
  (ANL))\n\n
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