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LOCATION:506
DTSTART;TZID=America/Denver:20231113T165300
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UID:submissions.supercomputing.org_SC23_sess454_ws_eduhpca105@linklings.co
 m
SUMMARY:Parallelizing a 1-Dim Nagel-Schreckenberg Traffic Model
DESCRIPTION:Ramses van Zon (University of Toronto, SciNet HPC Consortium) 
 and Marcelo Ponce (University of Toronto, Scarborough; Department of Compu
 ter and Mathematical Sciences)\n\nThe Nagel-Schreckenberg model is a stoch
 astic one-dimensional traffic model. In this assignment, we guide students
  through the process of implementing a shared-memory parallel and reproduc
 ible version of an existing serial code that implements this model, and to
  analyze its scaling behavior.\n\nOne of the key elements in this traffic 
 model is the presence of randomness, without which it would lack realistic
  phenomena such as traffic jams. Its implementation thus requires techniqu
 es associated with Monte Carlo simulations and pseudo-random number genera
 tion (PRNG). PRNGs are notoriously tricky to deal with in parallel when co
 mbined with the requirement of reproducibility.\n\nThis assignment was cre
 ated for the graduate course PHY1610 Scientific Computing for Physicists a
 t the University of Toronto, which had its origin in the training program 
 of the SciNet HPC Consortium, and is also very suitable for other scientif
 ic disciplines. Several variations of the assignment have been used over t
 he years.\n\nTag: Education, Heterogeneous Computing, Reproducibility, Sta
 te of the Practice, Sustainability\n\nRegistration Category: Workshop Reg 
 Pass\n\nSession Chairs: David P. Bunde (Knox College); Sushil K. Prasad (U
 niversity of Texas at San Antonio); Satish Puri (Missouri University of Sc
 ience and Technology); Apan Qasem (Texas State University); and George K. 
 Thiruvathukal (Loyola University, Chicago; Argonne National Laboratory (AN
 L))\n\n
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