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DTSTART;TZID=America/Denver:20231113T153600
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UID:submissions.supercomputing.org_SC23_sess454_ws_eduhpcl105@linklings.co
 m
SUMMARY:Teaching Non-Determinism in High Performance Applications
DESCRIPTION:Jack Marquez and Befikir Bogale (University of Tennessee), Aas
 hish Pandey (University of North Texas), Nigel Tan and Lauren Whitnah (Uni
 versity of Tennessee), Sanjukta Bhowmick (University of North Texas), and 
 Michela Taufer (University of Tennessee)\n\nIncreasing performance in data
  workflows can cause non-deterministic communication. Non-determinism can 
 seriously affect software correctness and compromise reproducibility in sc
 ientific discovery. We design and implement tutorial modules to demonstrat
 e the impact of non-determinism in data science workflows. We use ANACIN-X
 , a framework of test cases and tools for analytics and visualization. By 
 completing our modules, students, researchers, and data science profession
 als will understand non-determinism, how it affects their applications, ho
 w to quantify it, and how to identify its root sources.\n\nTag: Education,
  Heterogeneous Computing, Reproducibility, State of the Practice, Sustaina
 bility\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Davi
 d P. Bunde (Knox College); Sushil K. Prasad (University of Texas at San An
 tonio); Satish Puri (Missouri University of Science and Technology); Apan 
 Qasem (Texas State University); and George K. Thiruvathukal (Loyola Univer
 sity, Chicago; Argonne National Laboratory (ANL))\n\n
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