Since many distributed-memory machines rely only on point-to-point communication between processors, various broadcast operations must be created using this type of primitive. In this paper we consider the fundamental problem of broadcasting k-items from one processor to all the remaining processors on a parallel machine. Using point-to-point communication and the LogP model, we design an algorithm for k-item broadcast whose running time is within an additive constant of the lower bound. We also present an optimal algorithm for k-item broadcast on a variant of LogP. (C) 1999 Academic Press.
Journal article
Optimal and Near-Optimal Algorithms fork-Item Broadcast
Journal of parallel and distributed computing, v 57(2), pp 121-139
May 1999
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- Title
- Optimal and Near-Optimal Algorithms fork-Item Broadcast
- Creators
- Eunice E. Santos - Lehigh University
- Publication Details
- Journal of parallel and distributed computing, v 57(2), pp 121-139
- Publisher
- ACADEMIC PRESS INC; SAN DIEGO
- Number of pages
- 19
- Grant note
- CCR-9624721 / National Science Foundation (http://data.elsevier.com/vocabulary/SciValFunders/100000001)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Engineering
- Web of Science ID
- WOS:000080180900001
- Scopus ID
- 2-s2.0-0000679818
- Other Identifier
- 991022207046904721
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- Computer Science, Theory & Methods