Result: Parallelization of divide-and-conquer eigenvector accumulation

Title:
Parallelization of divide-and-conquer eigenvector accumulation
Source:
Euro-Par 2005 parallel processing (Lisbon, 30 August - 2 September 2005)Lecture notes in computer science. :847-856
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Institute for Distributed and Multimedia Systems University of Vienna Lenaugasse 2/8, 1080 Vienna, Austria
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17095292
Database:
PASCAL Archive

Further Information

This paper discusses and compares several parallelization strategies for tree-structured computations. In particular, we focus on the parallelization of the eigenvector accumulation process in divide-and-conquer eigensolvers, such as the recently developed block divide-and-conquer (BD&C) eigensolver. We describe a model algorithm for evaluating the performance of several parallel variants of this accumulation process, and we develop a block parallel approach which is shown to achieve good speedup in experiments on PC clusters.