High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory

Daniel F. Puleri, Sayan Roychowdhury, Peter Balogh, John Gounley, Erik W. Draeger, Jeff Ames, Adebayo Adebiyi, Simbarashe Chidyagwai, Benjamin Hernandez, Seyong Lee, Shirley V. Moore, Jeffrey S. Vetter, Amanda Randles

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

1 Scopus citations

Abstract

The ability to track simulated cancer cells through the circulatory system, important for developing a mechanistic understanding of metastatic spread, pushes the limits of today's supercomputers by requiring the simulation of large fluid volumes at cellular-scale resolution. To overcome this challenge, we introduce a new adaptive physics refinement (APR) method that captures cellular-scale interaction across large domains and leverages a hybrid CPU-GPU approach to maximize performance. Through algorithmic advances that integrate multi-physics and multi-resolution models, we establish a finely resolved window with explicitly modeled cells coupled to a coarsely resolved bulk fluid domain. In this work we present multiple validations of the APR framework by comparing against fully resolved fluid-structure interaction methods and employ techniques, such as latency hiding and maximizing memory bandwidth, to effectively utilize heterogeneous node architectures. Collectively, these computational developments and performance optimizations provide a robust and scalable framework to enable system-level simulations of cancer cell transport.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE International Conference on Cluster Computing, CLUSTER 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages230-242
Number of pages13
ISBN (Electronic)9781665498562
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Cluster Computing, CLUSTER 2022 - Heidelberg, Germany
Duration: Sep 6 2022Sep 9 2022

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
Volume2022-September
ISSN (Print)1552-5244

Conference

Conference2022 IEEE International Conference on Cluster Computing, CLUSTER 2022
Country/TerritoryGermany
CityHeidelberg
Period9/6/229/9/22

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Signal Processing

Keywords

  • cancer metastasis
  • deformable cells
  • heterogeneous architectures
  • immersed boundary
  • multiphysics

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