Details
| Original language | English |
|---|---|
| Title of host publication | Quantitative Evaluation of Computing and Communication Systems |
| Subtitle of host publication | 8th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation Performance Tools 1995 and 8th GI/ITG Conference on Measuring, Modelling and Evaluating Computing and Communication Systems MMB 1995, Proceedings |
| Editors | Heinz Beilner, Falko Bause |
| Publisher | Springer Verlag |
| Pages | 284-298 |
| Number of pages | 15 |
| ISBN (print) | 9783540603009 |
| Publication status | Published - 9 Jun 2005 |
| Event | 8th International Conference on Modelling Techniques and Tools for Computer performance Evaluation, Performance Tools 1995 and 8th GI/ITG Conference on Measuring, Modelling and Evaluating Computing and Communication Systems - Heidelberg, Germany Duration: 20 Sept 1995 → 22 Sept 1995 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 977 |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
Today’s massively parallel machines are typically message passing systems consisting of hundreds or thousands of processors. Implementing parallel applications efficiently in this environment is a challenging task. The Performance Prediction Tool (PerPreT) presented in this paper is useful for system designers and application developers. The system designers can use the tool to examine the effects of changes of architectural parameters on parallel applications (e.g., reduction of setup time, increase of link bandwidth, faster execution units). Application developers are interested in a fast evaluation of different parallelization strategies of their codes. PerPreT uses a relatively simple analytical model to predict speedup, execution time, computation time, and communication time for a parametrized application. Especially for large numbers of processors, PerPreT s analytical model is preferable to traditional models (e.g., Markov based approaches such as queueing and Petri net models). The applications are modelled through parameterized formulae for communication and computation. The parameters used by PerPreT include the problem size and the number of processors used to execute the program. The target systems are described by architectural parameters (e.g., setup times for communication, link bandwidth, and sustained computing performance per node).
Keywords
- Performance evaluation, Performance prediction, Workload modeling
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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Quantitative Evaluation of Computing and Communication Systems : 8th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation Performance Tools 1995 and 8th GI/ITG Conference on Measuring, Modelling and Evaluating Computing and Communication Systems MMB 1995, Proceedings. ed. / Heinz Beilner; Falko Bause. Springer Verlag, 2005. p. 284-298 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 977).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Perpret
T2 - 8th International Conference on Modelling Techniques and Tools for Computer performance Evaluation, Performance Tools 1995 and 8th GI/ITG Conference on Measuring, Modelling and Evaluating Computing and Communication Systems
AU - Brehm, Jürgen
AU - Madhukar, Manish
AU - Smirni, Evgenia
AU - Dowdy, Larry
PY - 2005/6/9
Y1 - 2005/6/9
N2 - Today’s massively parallel machines are typically message passing systems consisting of hundreds or thousands of processors. Implementing parallel applications efficiently in this environment is a challenging task. The Performance Prediction Tool (PerPreT) presented in this paper is useful for system designers and application developers. The system designers can use the tool to examine the effects of changes of architectural parameters on parallel applications (e.g., reduction of setup time, increase of link bandwidth, faster execution units). Application developers are interested in a fast evaluation of different parallelization strategies of their codes. PerPreT uses a relatively simple analytical model to predict speedup, execution time, computation time, and communication time for a parametrized application. Especially for large numbers of processors, PerPreT s analytical model is preferable to traditional models (e.g., Markov based approaches such as queueing and Petri net models). The applications are modelled through parameterized formulae for communication and computation. The parameters used by PerPreT include the problem size and the number of processors used to execute the program. The target systems are described by architectural parameters (e.g., setup times for communication, link bandwidth, and sustained computing performance per node).
AB - Today’s massively parallel machines are typically message passing systems consisting of hundreds or thousands of processors. Implementing parallel applications efficiently in this environment is a challenging task. The Performance Prediction Tool (PerPreT) presented in this paper is useful for system designers and application developers. The system designers can use the tool to examine the effects of changes of architectural parameters on parallel applications (e.g., reduction of setup time, increase of link bandwidth, faster execution units). Application developers are interested in a fast evaluation of different parallelization strategies of their codes. PerPreT uses a relatively simple analytical model to predict speedup, execution time, computation time, and communication time for a parametrized application. Especially for large numbers of processors, PerPreT s analytical model is preferable to traditional models (e.g., Markov based approaches such as queueing and Petri net models). The applications are modelled through parameterized formulae for communication and computation. The parameters used by PerPreT include the problem size and the number of processors used to execute the program. The target systems are described by architectural parameters (e.g., setup times for communication, link bandwidth, and sustained computing performance per node).
KW - Performance evaluation
KW - Performance prediction
KW - Workload modeling
UR - http://www.scopus.com/inward/record.url?scp=84957024911&partnerID=8YFLogxK
U2 - 10.1007/bfb0024322
DO - 10.1007/bfb0024322
M3 - Conference contribution
AN - SCOPUS:84957024911
SN - 9783540603009
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 284
EP - 298
BT - Quantitative Evaluation of Computing and Communication Systems
A2 - Beilner, Heinz
A2 - Bause, Falko
PB - Springer Verlag
Y2 - 20 September 1995 through 22 September 1995
ER -