T. Fahringer. Evaluation of Benchmarking Performance Estimation for Parallel Fortran Programs on Massively Parallel SIMD and MIMD Computers. In IEEE Proc. of the 2nd Euromicro Workshop on Parallel and Distributed Processing, Malaga, Spain, January 1994. Home/Search Document Not in Database Summary Related Articles Check |
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Performance Prediction and Network Media Selection for PVM Clusters - Steed (1996) (Correct)
.... with this approach include the large effort required to collect, maintain, and verify training sets, and the fact that measurements taken during execution of the training set often differ from actual performance, due to interactions between register allocation, cache, and CPU pipeline status [25]. Other prediction tools use a template approach, in which a pre constructed performance model (a template) is chosen and then parameterized by dynamic measurements. Problems with this approach include the difficulty of developing templates and tight restrictions on the form of programs (i.e. ....
T. Fahringer and H. P. Zima. Evaluation of Benchmarking Performance Estimation for Parallel Fortran Programs on Massively Parallel SIMD and MIMD Computers. In IEEE Proceedings of the 2nd Euromicro Workshop on Parallel and Distributed Processing, Malaga,Spain, January 1994.
On Estimating the Useful Work Distribution of Parallel Programs.. - Fahringer (1996) (4 citations) Self-citation (Fahringer) (Correct)
....the difference among array assignment and procedure call statements with respect to the associated operations into account. The work distribution parameter can be easily extended by this information. For instance, wd(S) could be weighted by the sum of pre measured operations included in S (cf. [10]) Future work will address this issue. Moreover, a good work distribution does not necessarily imply a good overall performance of a parallel program. Besides the work distribution other performance aspects such as communication overhead ( 8, 12] and data locality ( 7, 15, 30] play an important ....
T. Fahringer. Evaluation of Benchmarking Performance Estimation for Parallel Fortran Programs on Massively Parallel SIMD and MIMD Computers. In IEEE Proc. of the 2nd Euromicro Workshop on Parallel and Distributed Processing, Malaga, Spain, January 1994.
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