PAMDA: Performance Assessment Using MAQAO Toolset and Differential Analysis

Zakaria Bendifallah (), William Jalby (), José Noudohouenou, Emmanuel Oseret, Vincent Palomares and Andres Charif Rubial
Additional contact information
Zakaria Bendifallah: Exascale Computing Research
William Jalby: Exascale Computing Research
José Noudohouenou: Exascale Computing Research
Emmanuel Oseret: Exascale Computing Research
Vincent Palomares: Exascale Computing Research
Andres Charif Rubial: Exascale Computing Research

Chapter Chapter 9 in Tools for High Performance Computing 2013, 2014, pp 107-127 from Springer

Abstract: Abstract Identifying performance bottlenecks in applications is crucial to improve their efficiency, but it might be difficult to precisely assess their impact on performance: in particular, two performance problems can interact making it difficult to isolate and therefore to correct them. We propose PAMDA, a methodology to single out performance problems through hierarchical bottlenecks detection. Important potential performance issues are classified in a ‘Performance Breakdown Tree’ which is used to drive our iterative analysis cycle, prioritizing the most relevant problems. Our system relies on MAQAO toolset and code’s differential analysis. While MAQAO is a performance analysis and optimization tool suite, the differential analysis approach, which is implemented through DECAN tool, consists in quantifying performance changes when applying controlled transformations to the target code. Our focus will be on performance issues raised by processors and memory sub-systems in multicore architectures. We will demonstrate the approach on loops extracted from real life HPC applications.

Keywords: Access Pattern; Memory Hierarchy; Performance Bottleneck; Memory Subsystem; Reverse Time Migration (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-08144-1_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319081441

DOI: 10.1007/978-3-319-08144-1_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().