Optimizing Parallel Performance of the Cell Based Blood Flow Simulation Software HemoCell
- Azizi Tarksalooyeh, V.
- Závodszky, G.
- Hoekstra, A.G.
- Rodrigues, J.M.F.
- Cardoso, P.J.S.
- Monteiro, J.
- Lam, R.
- Krzhizhanovskaya, V.V.
- Lees, M.H.
- Dongarra, J.J.
- Sloot, P.M.A.
Publication date
January 2019
DOI Publisher
Springer Science and Business Media LLCAbstract
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
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