Title
Reusable software components for accelerator-based clusters
Abstract
Abstract: The emerging accelerator-based heterogeneous clusters, comprising specialized processors such as the IBM Cell and GPUs, have exhibited excellent price to performance ratio as well as high energy-efficiency. However, developing and maintaining software for such systems is fraught with challenges, especially for modern high-performance computing (HPC) applications that can benefit the most from leveraging accelerators. If accelerator-based clusters are to deliver on their initial promise to provide a viable and cost-effective HPC solution to researchers and practitioners, one must find a software solution to lower the barrier to entry for the average user. In this paper, we investigate how a software component based approach can be used to provide a reusable and adaptable architecture for executing HPC tasks on accelerator-based clusters. In our implementation, we leverage the lessons from the software engineering research for component-based layered architectures. Our results indicate that the complexity of developing and maintaining accelerator-based cluster software can be as effectively tamed by solid software engineering approaches as that of software in more traditional domains. Specifically, we were able to reuse 83.6% of our implementation code across different architectures and resource configurations, while achieving the overall execution performance only 1.5% off that of an optimally hand-tuned, albeit non-reusable version.
Year
DOI
Venue
2011
10.1016/j.jss.2010.09.050
Journal of Systems and Software
Keywords
Field
DocType
cost-effective hpc solution,accelerator-based cluster software,accelerator-based cluster,software engineering research,reusable software components,implementation code,reusable software component,accelerator-based systems,heterogeneous clusters,software component,mixin-layers,high-performance computing,solid software engineering approach,accelerator-based heterogeneous cluster,software solution,hpc task,high performance computing
Package development process,Computer science,Real-time computing,Software system,Backporting,Resource-oriented architecture,Component-based software engineering,Software construction,Software development,Software framework
Journal
Volume
Issue
ISSN
84
7
The Journal of Systems & Software
Citations 
PageRank 
References 
1
0.36
26
Authors
3
Name
Order
Citations
PageRank
M. Mustafa Rafique115715.49
Ali R. Butt265147.51
Eli Tilevich347551.95