Fulltext

Parallel scalable PDE-constrained optimization: antenna identification in hyperthermia cancer treatment planning

Schenk, Olaf ; Manguoglu, Murat ; Sameh, Ahmed ; Christen, Matthias ; Sathe, Madan

In: Computer Science - Research and Development, 2009, vol. 23, no. 3-4, p. 177-183

Ajouter à la liste personnelle
    Titre
    • Parallel scalable PDE-constrained optimization: antenna identification in hyperthermia cancer treatment planning
    Auteur
    • Schenk, Olaf. Computer Science Department, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland
    • Manguoglu, Murat. Computer Sciences, University of Purdue, 305 N. University Street, 4790, West Lafayette, IN, USA
    • Sameh, Ahmed. Computer Sciences, University of Purdue, 305 N. University Street, 4790, West Lafayette, IN, USA
    • Christen, Matthias. Computer Science Department, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland
    • Sathe, Madan. Computer Science Department, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • Computer Science - Research and Development, 2009, vol. 23, no. 3-4, p. 177-183. Springer-Verlag
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:311234
    Summary
    We present aPDE-constrained optimization algorithm which is designed for parallel scalability on distributed-memory architectures with thousands of cores. The method is based on aline-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, it uses anew parallel and robust iterative linear solver on distributed-memory architectures. We will show almost linear parallel scalability results for the complete optimization problem, which is anew emerging important biomedical application and is related to antenna identification in hyperthermia cancer treatment planning