Title
A Hierarchical Approach for Parallelization of a Global Optimization Method for Protein Structure Prediction
Abstract
We discuss the parallelization of our protein structure prediction algorithm on distributed-memory computers. Because the computation can be represented as a search through a vast tree of possible solutions, a hierarchical approach that assigns subtrees to different groups of processors allows us to partition the work efficiently and maintain information updated without incurring significant communication overhead. Our results show that a dynamic strategy for load balancing outperforms the static one.
Year
DOI
Venue
1999
10.1007/3-540-48311-X_82
Euro-Par
Keywords
Field
DocType
protein structure prediction,distributed memory,load balance,global optimization
Protein structure prediction,Global optimization,Computer science,Parallel algorithm,Load balancing (computing),Parallel computing,Theoretical computer science,Partition (number theory),Computation,Automatic parallelization
Conference
Volume
ISSN
ISBN
1685
0302-9743
3-540-66443-2
Citations 
PageRank 
References 
4
0.46
5
Authors
5
Name
Order
Citations
PageRank
Silvia A. Crivelli1122.89
Teresa Head-Gordon2276.25
Richard H. Byrd32234227.38
Elizabeth Eskow49020.96
Robert B. Schnabel5565143.88