Performance Evaluation of Task Pools Based on Hardware Synchronization
Proceedings of the 2004 ACM/IEEE conference on Supercomputing
Executing irregular scientific applications on stream architectures
Proceedings of the 21st annual international conference on Supercomputing
Generic framework for parallel and distributed processing of video-data
ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
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The characteristics of irregular algorithms make a parallel implementation difficult, especially for PC clusters or clusters of SMPs. These characteristics may include an unpredictable access behavior to dynamically changing data structures or strong irregular coupling of computations. Problems are an unknown load distribution and expensive irregular communication patterns for data accesses and redistributions. In this paper we propose task pool teams for implementing irregular algorithms on clusters of PCs or SMPs. A task pool team combines multithreadedprogramming using task pools on single nodes with explicit message passing between different nodes. As application example we use the hierarchical radiosity algorithm. is difficult.