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DTSTART;TZID=America/Denver:20231113T164500
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UID:submissions.supercomputing.org_SC23_sess454_ws_eduhpca102@linklings.co
 m
SUMMARY:1D Heat Equation in Chapel
DESCRIPTION:Jeremiah Corrado (Hewlett Packard Enterprise (HPE))\n\nThis pa
 per describes an assignment in the Chapel programming language for creatin
 g a 1D heat equation solver. Two methods are used to solve the problem, ex
 posing a variety of parallel programming concepts. The first portion of th
 e assignment uses high-level parallel constructs, namely Chapel's forall l
 oop and Block distribution, to create a simple distributed-memory solver. 
 Here, students are asked to think about what it means for an array to be s
 plit across the memory in multiple compute nodes while relying on the lang
 uage to handle the details of communication and synchronization. The secon
 d portion of the assignment uses low-level parallelism, like barriers and 
 explicit communication. Here, the goal is to reduce overhead, while  intro
 ducing students to the ideas of explicit communication and synchronization
 . In both parts, students are provided with a non-distributed version of t
 he solver and are asked to create a modified version that runs across mult
 iple compute nodes.\n\nTag: Education, Heterogeneous Computing, Reproducib
 ility, State of the Practice, Sustainability\n\nRegistration Category: Wor
 kshop Reg Pass\n\nSession Chairs: David P. Bunde (Knox College); Sushil K.
  Prasad (University of Texas at San Antonio); Satish Puri (Missouri Univer
 sity of Science and Technology); Apan Qasem (Texas State University); and 
 George K. Thiruvathukal (Loyola University, Chicago; Argonne National Labo
 ratory (ANL))\n\n
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