Vascular network modeling: improved parallel implementation on computing cluster

Authors:
Krzysztof Jurczuk;Marek Krętowski;Johanne Bézy-Wendling
Affiliations:
Faculty of Computer Science, Białystok Technical University, Białystok, Poland and INSERM, Rennes, France and University of Rennes 1, LTSI, Rennes, France;Faculty of Computer Science, Białystok Technical University, Białystok, Poland;INSERM, Rennes, France and University of Rennes 1, LTSI, Rennes, France
Venue:
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
Year:
2009

Citing 3
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Abstract

In this paper, an improved parallel algorithm of vascular network modeling is presented. The new solution is based on a more decentralized approach. Moreover, in order to accelerate the simulation of vascular growth process both the dynamic load balancing and periodic rebuildings of vascular trees were introduced. The presented method was implemented on a computing cluster with the use of the MPI standard. The experimental results show that the improved algorithm results in better speedup thus making it possible to introduce more physiological details and also perform simulations with a greater number of vessels and cells. Furthermore, the presented approach can bring the model closer to reality where the analogous vascular processes can be also parallel.