Optimizing Discrete Simulations of the Spread of HIV-1 to Handle Billions of Cells on a Workstation-Reference-Cited by-同舟云学术

Optimizing Discrete Simulations of the Spread of HIV-1 to Handle Billions of Cells on a Workstation

Published:2020-06-06 Issue: Volume: Page:
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Container-title:Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
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Author:

Giabbanelli Philippe J.¹,Devita Joshua A.²,Köster Till³,Kohrt Jared A.⁴

Affiliation:

1. Miami University, Oxford, OH, USA

2. Northern Illinois University, DeKalb, IL, USA

3. University of Rostock, Rostock, Germany

4. Furman University, Greenville, SC, USA

Funder

NIH IDeA Networks of Biomedical Research Excellence (INBRE) via Furman University

Deutsche Forschungsgemeinschaft (DFG)

Research and Artistry Opportunity Grant from Northern Illinois University

Publisher

ACM

Link

Reference50 articles.

4. Big Data From Scientific Simulations;Edwards John;Big Data and High Performance Computing,2015

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2. Design and evaluation of update schemes to optimize asynchronous Cellular Automata with random or cyclic orders;2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications (DS-RT);2021-09-27