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Platform Characterization for Domain-Specific Computing

Alex Bui, Kwang-Ting (Tim) Cheng, Jason Cong, Luminita Vese, Yi-Chu Wang, Bo Yuan, Yi Zou
Department of Radiological Sciences, University of California, Los Angeles, CA 90095, USA
17th Asia and South Pacific Design Automation Conference (ASPDAC 2012), 2012

@article{bui2012platform,

   title={Platform Characterization for Domain-Specific Computing},

   author={Bui, Alex and Cheng, Kwang-Ting (Tim) and Cong, Jason and Vese, Luminita and Wang, Yi-Chu and Yuan, Bo and Zou, Yi},

   year={2012}

}

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We believe that by adapting architectures to fit the requirements of a given application domain, we can significantly improve the efficiency of computation. To validate the idea for our application domain, we evaluate a wide spectrum of commodity computing platforms to quantify the potential benefits of heterogeneity and customization for the domain-specific applications. In particular, we choose medical imaging as the application domain for investigation, and study the application performance and energy efficiency across a diverse set of commodity hardware platforms, such as general-purpose multi-core CPUs, massive parallel many-core GPUs, low-power mobile CPUs and fine-grain customizable FPGAs. This study leads to a number of interesting observations that can be used to guide further development of domain-specific architectures.
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