Towards High-End Scalability on Bio-Inspired Computational Models

Dario Dematties, Silvio Rizzi, George K. Thiruvathukal

Research output: Other contribution

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.

Original languageAmerican English
StatePublished - Jul 29 2020

Keywords

  • neurocomputational models
  • artificial intelligence
  • phonetics
  • grammar
  • high-performance computing
  • scalability
  • software engineering
  • reproducible research
  • cortical dynamics
  • early language acquisition
  • sparse distributed representations

Disciplines

  • Artificial Intelligence and Robotics
  • Computer Sciences
  • Neuroscience and Neurobiology

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