A randomized parallel 3D convex hull algorithm for coarse grained multicomputers
Proceedings of the seventh annual ACM symposium on Parallel algorithms and architectures
On multiprocessor system scheduling
Proceedings of the eighth annual ACM symposium on Parallel algorithms and architectures
A Randomized Algorithm for Voronoi Diagram of Line Segments on Coarse-Grained Multiprocessors
IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
Interoperability of Data Parallel Runtime Libraries
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
A 2-D Parallel Convex Hull Algorithm with Optimal Communication Phases
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
Parallel Algorithms for Grounded Range Search and Applications
Euro-Par '99 Proceedings of the 5th International Euro-Par Conference on Parallel Processing
A Randomized Parallel Three-Dimensional Convex Hull Algorithm for Coarse-Grained Multicomputers
Theory of Computing Systems
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The cost of interprocessor communication has a substantial impact on execution time when implementing parallel algorithms on physical parallel computers. We study these implementation costs, examining the number of inter-processor messages, the cost of routing these messages on various architectures, and the number of communication phases. We provide an improved direct routing algorithm for realizing h-relations on crossbar networks. We also introduce a round-robin message-delivery algorithm which reduces the number of times a communication lint is established between a pair of processors (by delivering all messages of that phase for the pair in order without interruption) We summarize criteria sufficient for a parallel algorithm to be implemented optimally on several common networks. We also describe a log n-phase optimal parallel list-ranking algorithm.