Peachy Parallel Assignments (EduHPC 2023)

H. Martin Bücker, Jeremiah Corrado, Daniel Fedorin, Diego García-Álvarez, Arturo Gonzalez-Escribano, John Li, Maria Pantoja, Erik Pautsch, Marieke Plesske, Marcelo Ponce, Silvio Rizzi, Erik Saule, Johannes Schoder, George Thiruvathukal, Ramses Van Zon, Wolf Weber, David P. Bunde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
PublisherAssociation for Computing Machinery
Pages366-373
Number of pages8
ISBN (Electronic)9798400707858
DOIs
StatePublished - Nov 12 2023
Externally publishedYes
Event2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023 - Denver, United States
Duration: Nov 12 2023Nov 17 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
Country/TerritoryUnited States
CityDenver
Period11/12/2311/17/23

ASJC Scopus Subject Areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Keywords

  • Chapel programming language
  • Data sciende pipeline
  • Distributed processing
  • MapReduce
  • MapReduce MPI
  • Nagel-Schreckenberg traffic model
  • Parallel computing education
  • Parallel programming
  • Peachy Parallel Assignment
  • Spark
  • ensemble classification
  • heat equation
  • k-Nearest Neighbor
  • k-means clustering
  • random numbers
  • reproducibility

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