A Parallel PDE-Constrained Optimization Framework for Biomedical Hyperthermia Treatment Planning

Sathe, Madan and Schenk, Olaf and Christen, Matthias and Burkhart, Helmar:. (2009) A Parallel PDE-Constrained Optimization Framework for Biomedical Hyperthermia Treatment Planning. In: Mitteilungen / GI, Gesellschaft für Informatik e.V., Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware, PARS ; ITG, Informationstechnische Gesellschaft im VDE Nr. 26. (Workshop 2009). Erlangen, p. 1.

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Official URL: http://edoc.unibas.ch/dok/A5254981

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We present a PDE-constrained optimization algorithm which is designed for parallel scalability on distributed-memory architectures with thousands of cores.The method is based on a line-search interior-point algorithm for large-scale continuous optimization, it is matrix-free in that it does not require the factorization of derivative matrices. Instead, ituses a new parallel and robust iterative linear solver on distributed-memory architectures.We will show almost linear parallel scalability results with 256 cores for the optimization problem, which is anemerging biomedical application and is related to antenna identification in hyperthermia cancer treatment planning. Additionally, we will discuss two combinatorial problem, parallel matchingalgorithms and graph partitioning, which could further enhance the parallel scalability of general nonlinear optimization solvers.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik
UniBasel Contributors:Schenk, Olaf and Burkhart, Helmar and Christen, Matthias and Sathe, Madan
Item Type:Conference or Workshop Item
Conference or workshop item Subtype:Conference Paper
Note:Note: Erschienen im Tagungsband zum PARS-Workshop 04.-05. Juni 2009, Parsberg in der Oberpfalz, Deutschland -- Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:22 Mar 2012 14:27
Deposited On:22 Mar 2012 13:56

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