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Lecture
Towards High-End Scalability on Bio-Inspired Computational Models
Third HPC Summer School on Bio and Data Science
  • Dario Dematties, University of Buenos Aires
  • Silvio Rizzi, Argonne National Laboratory
  • George K. Thiruvathukal, Loyola University Chicago
Document Type
Presentation
Publication Date
7-29-2020
Publisher Name
CyberColombia
Publisher Location
Colombia, South America
Abstract

Presentation at CyberColombia's Third HPC Summer School: Bio and Data Science Part 1 describes our work on developing a neurocomputational model inspired in specific features found in the mammalian cortex. Part 2 describes our software development efforts to build an HPC version of our work aimed at scalability on leadership class supercomputers, including a discussion of our strong and weak scaling results to date. Part 3 describes our efforts with software engineering and reproducibilty with a discussion of best practices for working with open source and hosting code, datasets, and analyses.

Creative Commons License
Creative Commons Attribution 4.0 International
Citation Information
Dario Dematties, Silvio Rizzi, and George K. Thiruvathukal, Towards High-End Scalability on Bio-Inspired Computational Models, https://doi.org/10.6084/m9.figshare.12762260