Name
Abstract | ||
|---|---|---|
To enable a scalable parallel application to view its global performance state, we designed and developed TAUg, a portable runtime framework layered on the TAU parallel performance system. TAUg leverages the MPI library to communicate between application processes, creating an abstraction of a global performance space from which profile views can be retrieved. We describe the TAUg design and implementation and show its use on two test benchmarks up to 512 processors. Overhead evaluation for the use of TAUg is included in our analysis. Future directions for improvement are discussed. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11846802_44 | PVM/MPI |
Keywords | Field | DocType |
overhead evaluation,global performance space,application process,tau parallel performance system,portable runtime framework,runtime global performance data,future direction,global performance state,taug design,mpi library,scalable parallel application,performance,parallel,data access,measurement,mpi | Virtual machine,Abstraction,Computer science,Parallel algorithm,Distributed memory,Message Passing Interface,Data access,Message passing,Operating system,Distributed computing,Scalability | Conference |
Volume | ISSN | ISBN |
4192 | 0302-9743 | 3-540-39110-X |
Citations | PageRank | References |
7 | 0.50 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kevin A. Huck | 1 | 119 | 14.53 |
| Allen D. Malony | 2 | 1787 | 190.85 |
| Sameer Shende | 3 | 1351 | 116.40 |
| Alan Morris | 4 | 38 | 5.47 |