Title: Platform characterization for Domain-Specific Computing
Abstract: 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.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 28
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot