DocumentCode :
166693
Title :
POSTER: “Analysis of scalability: A parallel application model approach”
Author :
Panadero, Javier ; Wong, Alexander ; Rexachs, Dolores ; Luque, Emilio
Author_Institution :
Dept. of Comput. Archit. & Oper. Syst. (CAOS), Univ. Autonoma de Barcelona, Barcelona, Spain
fYear :
2014
fDate :
22-26 Sept. 2014
Firstpage :
294
Lastpage :
295
Abstract :
In this paper we propose a methodology that allows us to predict the application scalability behavior in a specific system, providing information to select the most appropriate resources to run the application. We explain the general methodology, focusing on the presentation of a novel method to model the logical application trace for a large number of processes. This method is based on the projection of a set of executions of the application signature for a small number of processes. The generated traces are validated by comparing them with the real traces obtained with PAS2P tool. We present the experimental validation for the BT Nas Parallel Benchmark. The signatures for 16, 36, 64, 81 and 100 processes were executed and used to model and project the logical trace for 1024 processes. The results obtained show the accuracy of the method. The communication pattern was predicted without error, while the predicted error is less than 10% for the communication volume and less than 5% for the number of instructions.
Keywords :
application program interfaces; message passing; parallel processing; BT Nas parallel benchmark; MPI application; application scalability behavior prediction; application signature; communication pattern prediction; logical application trace; parallel application model approach; Analytical models; Benchmark testing; Computational modeling; Focusing; Multicore processing; Predictive models; Scalability; Application modeling; MPI Applications; Performance Prediction; Scalability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing (CLUSTER), 2014 IEEE International Conference on
Conference_Location :
Madrid
Type :
conf
DOI :
10.1109/CLUSTER.2014.6968776
Filename :
6968776
Link To Document :
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