Abstract | ||
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The hybrid programming model MPI+OpenMP are useful to solve the problems of load balancing of parallel applications independently of the architecture. Typical approaches to balance parallel applications using two levels of parallelism or only MPI consist of including complex codes that dynamically detect which data domains are more computational intensive and either manually redistribute the allocated processors or manually redistribute data. This approach has two drawbacks: it is time consuming and it requires an expert in application analysis. In this paper we present an automatic and dynamic approach for load balancing MPI+OpenMP applications. The system will calculate the percentage of load imbalance and will decide a processor distribution for the MPI processes that eliminates the computational load imbalance. Results show that this method can balance effectively applications without analyzing nor modifying them and that in the cases that the application was well balanced does not incur in a great overhead for the dynamic instrumentation and analysis realized. |
Year | DOI | Venue |
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2004 | 10.1109/ICPP.2004.1327921 | ICPP |
Keywords | Field | DocType |
application program interfaces,message passing,open systems,resource allocation,shared memory systems,MPI processes,OpenMP,autonomic computing,computational load imbalance,hybrid programming model,load balancing,parallel application,processor distribution,resource management | Resource management,Autonomic computing,Data domain,Load balancing (computing),Computer science,Parallel computing,Resource allocation,Open system (systems theory),Dynamic load balancing,Message passing,Distributed computing | Conference |
ISSN | ISBN | Citations |
0190-3918 | 0-7695-2197-5 | 24 |
PageRank | References | Authors |
1.42 | 7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Julita Corbalán | 1 | 339 | 23.32 |
Alejandro Duran | 2 | 943 | 61.43 |
Jesús Labarta | 3 | 1862 | 165.09 |