Academic Journal
P3S: A Methodology to Analyze and Predict Application Scalability.
| Τίτλος: | P3S: A Methodology to Analyze and Predict Application Scalability. |
|---|---|
| Συγγραφείς: | Panadero, Javier1, Wong, Alvaro1, Rexachs, Dolores1, Luque, Emilio1 |
| Πηγή: | IEEE Transactions on Parallel & Distributed Systems. Mar2018, Vol. 29 Issue 3, p642-658. 17p. |
| Θεματικοί όροι: | *Scalability, *Application software, Parallel programs (Computer programs), Prediction theory, Message passing (Computer science) |
| Περίληψη: | Executing message-passing parallel applications on a large number of resources in an efficient way is not a trivial task. Due to the complex interaction between the parallel applications and the HPC system, many applications may suffer performance inefficiencies when they scale. To achieve an efficient use of these large-scale systems using thousands of cores, a point to consider before executing an application is to know its behavior in the system. In this work, we propose a novel methodology called P3S (Prediction of Parallel Program Scalability), which allows us to analyze and predict the scalability of message-passing applications on a given system. The methodology strives to use a bounded analysis time, and a reduced set of resources to predict the application behavior for large-scale. The experimental validation proves that the P3S is able to predict the application scalability with an average accuracy greater than 95 percent using a reduced set of resources. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Parallel & Distributed Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Business Source Index |
καταχωρήστε σχόλιο πρώτοι!