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Frank Seinstra is a senior researcher in the Intelligent Sensory Information Systems research group at the Faculty of Science, University of Amsterdam, The Netherlands. One day a week (usually Fridays), he is also a visiting researcher in the Computer Systems Group, Vrije Universiteit, Amsterdam. Apart from being a researcher, he is a visiting lecturer at the Academic Medical Center (AMC) in Amsterdam. His research interests include parallel, distributed, and Grid computing, automatic parallelization, performance modeling, and scheduling - with a main focus on the application and research area of high performance image and video processing.
In May 2003 he received the PhD degree for his thesis entitled: User Transparent Parallel Image Processing. He has published over 20 papers on parallel computing and architecture design for user transparent parallel and distributed multimedia computing in international conference proceedings and journals (a.o.: IEEE Transactions on Parallel and Distributed Systems (2x), IEEE Transactions on Pattern Analysis and Machine Intelligence, Parallel Computing, Concurrency and Computation: Practice & Experience).
He is vice-chair of the Distributed and High-Performance Multimedia track at the European Conference on Parallel Computing (Euro-Par), and program committee member at several international conferences and workshops. Also, he has been a reviewer for several international journals (a.o.: IEEE Computer, Proceedings of the IEEE, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Image Processing, Journal of Parallel and Distributed Computing, Parallel Computing) and conferences (a.o.: International Symposium on High Performance Distributed Computing (HPDC), International Parallel and Distributed Processing Symposium (IPDPS), International Conference on Computational Science (ICCS), European Conference on Parallel Computing (Euro-Par)).
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CoRRno. 1 (2015): e7-e7
High‐Performance Computing on Complex Environmentspp.403-428, (2014)
CCGRID '14: Proceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computingpp.11-20, (2014)
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