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LOCATION:506
DTSTART;TZID=America/Denver:20231113T141500
DTEND;TZID=America/Denver:20231113T142300
UID:submissions.supercomputing.org_SC23_sess454_ws_eduhpcp102@linklings.co
 m
SUMMARY:Teaching Heterogeneous and Parallel Computing with Google Colab an
 d Raspberry Pi Clusters
DESCRIPTION:Zhiguang Xu (Valdosta State University)\n\nIn this paper, we d
 escribe our experience of teaching Heterogeneous and Parallel Computing wi
 th Google Colab and Raspberry Pi Clusters in a senior elective course in S
 pring 2023. After introductory lectures, while the whole class learned CUD
 A on Google Colab for five and half weeks, in parallel, a team of two stud
 ents spearheaded a pilot project as their undergraduate research project t
 o build, configure, and test a cluster of four Raspberry Pi’s. Then the re
 st of the class followed suit to build their own clusters in teams using t
 he tutorials developed through the pilot project. Thanks to these clusters
 , in the next seven weeks, the class went on to learn OpenMP and MPI on va
 rious scales. Students’ performance on the labs and assignments, their end
 -of-semester evaluations, and three anonymous surveys were collected as da
 ta to produce an evaluation of the course, which is presented in the end o
 f the paper.\n\nTag: Education, Heterogeneous Computing, Reproducibility, 
 State of the Practice, Sustainability\n\nRegistration Category: Workshop R
 eg Pass\n\nSession Chairs: David P. Bunde (Knox College); Sushil K. Prasad
  (University of Texas at San Antonio); Satish Puri (Missouri University of
  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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