Paper Info
Title
A Load Balancing Framework in Multithreaded Tomographic Reconstruction
Abstract
Clusters are, by now, one of most popular architecture. Hiding latencies as well as getting an optimal assignment of processors, are two issues for many scientific applications, specially if non dedicated clusters are used. Traditionally. high performance scientific applications are parallelized using MPI libraries. Typical implementations of MPI, minimize dynamic features required to face latencies or shared resource usage. Switching from the MPI process model to a threaded programming model in the parallel environment, can help to achieve efficient overlapping and provide abilities for load balancing. Gains achieved by BICAV (our research group's tomographic reconstruction software) in a multithreaded framework, are exposed.
Year
Venue
Keywords
2007
PARALLEL COMPUTING: ARCHITECTURES, ALGORITHMS AND APPLICATIONS
tomographic reconstruction,load balance
Field
DocType
Volume
Tomographic reconstruction,Load balancing (computing),Computer science,Parallel computing
Conference
15
ISSN
Citations 
PageRank 
0927-5452
4
0.49
References 
Authors
9
3
Name
Order
Citations
PageRank
José Antonio Álvarez151.49
Javier Roca Piera272.96
José-jesús Fernández34610.63