Parallel application signature for performance analysis and prediction
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The document presents a method called Parallel Application Signature for Performance Prediction (pas2p), aimed at analyzing and predicting the performance of message-passing scientific applications across various machines. The method captures application behavior by identifying representative phases, enabling an average prediction accuracy of over 97% for execution times. It also outlines the hardware and software requirements needed to implement this performance analysis system.
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Parallel application signature for performance analysis and prediction
- 1. Parallel Application Signature for Performance Analysis and Prediction Abstract: Predicting the performance of parallel scientific applications is becoming increasingly complex. Our goal was to characterize the behavior of message-passing applications on different target machines. To achieve this goal, we developed a method called parallel application signature for performance prediction (PAS2P), which strives to describe an application based on its behavior. Based on the application’s message-passing activity, we identified and extracted representative phases, with which we created a parallel application signature that enabled us to predict the application’s performance. We experimented with using different scientific applications on different clusters. We were able to predict execution times with an average accuracy greater than 97 percent. Hardware Requirements: • System : Pentium IV 2.4 GHz. • Hard Disk ` : 40 GB. • Floppy Drive : 1.44 Mb.
- 2. • Monitor : 15 VGA Colour. • Mouse : Logitech. • RAM : 256 Mb. Software Requirements: • Operating system : - Windows XP. • Front End : - JSP • Back End : - SQL Server Software Requirements: • Operating system : - Windows XP. • Front End : - .Net • Back End : - SQL Server