The PVM concurrent computing system: evolution, experiences, and trends
Parallel Computing - Special issue: message passing interfaces
Distributed Resource Management for Parallel Applications in Networks of Workstations
HPCN Europe '97 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
Task distribution methods for the reconstruction of MR images
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
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This paper deals with the parallel implementation of reconstruction algorithms for functional imaging on a network of workstations (NOW). Algorithms which provide the best image quality are not used in clinical routine, because they have a runtime of up to 60 hours with real clinical data sets of several hundred megabytes. After giving an overview of currently used image reconstruction algorithms, we describe a general parallel implementation of these algorithms with almost linear speedup and high efficiency which cuts down the runtime to a feasible limit. The high load which is caused by the parallel application conflicts with the predominantly interactive usage of clinical workstations, therefore we address load balancing with an application oriented, adaptive mechanism in order to preserve the ownership of workstations. Furthermore we explain how the integration of MATLAB and IDL based applications with a conventional distributed queuing system (DQS) can be achieved and why this significantly improves usage in clinical routine.