Optimizing Parallel Performance of the Cell Based Blood Flow Simulation Software HemoCell

Open Access
Authors
Publication date 2019
Host editors
  • J.M.F. Rodrigues
  • P.J.S. Cardoso
  • J. Monteiro
  • R. Lam
  • V.V. Krzhizhanovskaya
  • M.H. Lees
  • J.J. Dongarra
  • P.M.A. Sloot
Book title Computational Science – ICCS 2019
Book subtitle 19th International Conference, Faro, Portugal, June 12–14, 2019 : proceedings
ISBN
  • 9783030227432
ISBN (electronic)
  • 9783030227449
Series Lecture Notes in Computer Science
Event International Conference on Computational Science 2019
Volume | Issue number III
Pages (from-to) 537-547
Publisher Cham: Springer
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract Large scale cell based blood flow simulations are expensive, both in time and resource requirements. HemoCell can perform such simulations on high performance computing resources by dividing the simulation domain into multiple blocks. This division has a performance impact caused by the necessary communication between the blocks. In this paper we implement an efficient algorithm for computing the mechanical model for HemoCell together with an improved communication structure. The result is an up to 4 times performance increase for blood flow simulations performed with HemoCell.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-030-22744-9_42
Downloads
Optimizing Parallel Performance (Final published version)
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