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A scalable parallel 2D wavelet transform algorithm

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Date

1997

Authors

Moller Nielsen, Ole
Hegland, Markus

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Abstract

We present a new parallel 2D wavelet transform algorithm with minimal communication requirements. Data are transmitted between nearest neighbors only and the amount is independent of the problem size as well as the number of processors. An analysis of the theoretical performance shows that our algorithm is highly scalable approaching perfect speedup as the problem size is increased. This performance is realized in practice on the IBM SP2 as well as on the Fujitsu VPP300 where it will form part of the Scientific Software Library.

Description

Keywords

parallel algorithms, wavelets, Fujitsu VPP300, IBM SP2, TR-CS

Citation

URI

http://hdl.handle.net/1885/40743
 http://digitalcollections.anu.edu.au/handle/1885/40743

Collections

ANU Research Publications

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Type

Working/Technical Paper

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Restricted until

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TR-CS-97-21.pdf (268.77 KB)

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