Paper Info
Title
A high-level framework for parallelizing legacy applications for multiple platforms
Abstract
The tremendous growth and diversification in the area of computer architectures has contributed towards an upsurge in the number of parallel programing paradigms, languages, and environments. However, it is often difficult for domain-experts to develop expertise in multiple programming paradigms and languages in order to write performance-oriented parallel applications. Several active research projects aim at reducing the burden on programmers by raising the level of abstraction of parallel programming. However, a majority of such research projects either entail manual invasive reengineering of existing code to insert new directives for parallelization or force conformance to specific interfaces. Some systems require that the programmers rewrite their entire application in a new parallel programing language or a domain-specific language. Moreover, only a few research projects are addressing the need of a single framework for generating parallel applications for multiple hardware platforms or doing hybrid programming. This paper presents a high-level framework for parallelizing existing serial applications for multiple target platforms. The framework, currently in its prototype stage, can semi-automatically generate parallel applications for systems with both distributed-memory architectures and shared-memory architectures through MPI, OpenMP, and hybrid programming. For all the test cases considered so far, the performance of the generated parallel applications is comparable to that of the manually written parallel versions of the applications. Our approach enhances the productivity of the end-users as they are not required to learn any low-level parallel programming, shortens the parallel application development cycle for multiple platforms, and preserves the existing version of serial applications.
Year
DOI
Venue
2013
10.1145/2484762.2484829
XSEDE
Keywords
Field
DocType
research project,parallelizing legacy application,parallel programing paradigm,parallel programming,parallel application development cycle,hybrid programming,multiple programming paradigm,low-level parallel programming,new parallel programing language,high-level framework,multiple platform,parallel version,parallel application,abstraction,static code analysis
Static program analysis,Program transformation,Abstraction,Programming paradigm,Computer science,Parallel computing,Parallel programming model,Test case,Business process reengineering,Legacy system
Conference
Citations 
PageRank 
References 
3
0.47
9
Authors
4
Name
Order
Citations
PageRank
Ritu Arora16114.78
Ejenio Capetillo230.47
Purushotham Bangalore314323.66
Marjan Mernik43256154.23