Static Analysis Techniques For Semiautomatic Synthesis Of Message Passing Software Skeletons
Keywords
Dependency analysis; Program skeleton; Simulation; Source-to-source code generation; Static analysis
Abstract
The design of high-performance computing architectures requires performance analysis of large-scale parallel applications to derive various parameters concerning hardware design and software development. The process of performance analysis and benchmarking an application can be done in several ways with varying degrees of fidelity. One of the most cost-effective ways is to do a coarse-grained study of large-scale parallel applications through the use of program skeletons. The concept of a "program skeleton" that we discuss in this article is an abstracted program that is derived from a larger program where source code that is determined to be irrelevant is removed for the purposes of the skeleton. In this work, we develop a semiautomatic approach for extracting program skeletons based on compiler program analysis.We demonstrate correctness of our skeleton extraction process by comparing details from communication traces, as well as show the performance speedup of using skeletons by running simulations in the SST/macro simulator.
Publication Date
6-1-2015
Publication Title
ACM Transactions on Modeling and Computer Simulation
Volume
26
Issue
1
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1145/2778888
Copyright Status
Unknown
Socpus ID
84935064278 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84935064278
STARS Citation
Sottile, Matthew; Dagit, Jason; Zhang, Deli; Hendry, Gilbert; and Dechev, Damian, "Static Analysis Techniques For Semiautomatic Synthesis Of Message Passing Software Skeletons" (2015). Scopus Export 2015-2019. 86.
https://stars.library.ucf.edu/scopus2015/86