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Parallel implementation and performance of fastDNAml: a program for maximum likelihood phylogenetic inference
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Source Conference on High Performance Networking and Computing archive
Proceedings of the 2001 ACM/IEEE conference on Supercomputing (CDROM) table of contents
Denver, Colorado
Pages: 20 - 20  
Year of Publication: 2001
ISBN:1-58113-293-X
Authors
Craig A. Stewart  University Information Technology Services, Indiana University, Bloomington IN
David Hart  University Information Technology Services, Indiana University, Bloomington IN
Donald K. Berry  University Information Technology Services, Indiana University, Bloomington IN
Gary J. Olsen  University of Illinois Urbana/Champaign, Urbana, IL
Eric A. Wernert  University Information Technology Services, Indiana University, Bloomington IN
William Fischer  Indiana University, Bloomington IN
Sponsors
ACM: Association for Computing Machinery
SIGARCH: ACM Special Interest Group on Computer Architecture
IEEE-CS\DATC : IEEE Computer Society
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper describes the parallel implementation of fastDNAml, a program for the maximum likelihood inference of phylogenetic trees from DNA sequence data. Mathematical means of inferring phylogenetic trees have been made possible by the wealth of DNA data now available. Maximum likelihood analysis of phylogenetic trees is extremely computationally intensive. Availability of computer resources is a key factor limiting use of such analyses. fastDNAml is implemented in serial, PVM, and MPI versions, and may be modified to use other message passing libraries in the future. We have developed a viewer for comparing phylogenies. We tested the scaling behavior of fastDNAml on an IBM RS/6000 SP up to 64 processors. The parallel version of fastDNAml is one of very few computational phylogenetics codes that scale well. fastDNAml is available for download as source code or compiled for Linux or AIX.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  13
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Craig A. Stewart: colleagues
David Hart: colleagues
Donald K. Berry: colleagues
Gary J. Olsen: colleagues
Eric A. Wernert: colleagues
William Fischer: colleagues

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