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Reusable software components for accelerator-based clusters
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DOI：10.1016/j.jss.2010.09.050.png)
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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. (C) 2011 Elsevier Inc. All rights reserved.
Keyword:
Accelerator-based systems
Heterogeneous clusters
Reusable software components
Mixin-layers
High-performance computing
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