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Lee, Jongeun
Renew: Reconfigurable and Neuromorphic Computing Lab
Research Interests
  • Reconfigurable processor architecture, neuromorphic processor, stochastic computing

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Evaluating memory architectures for media applications on coarse-grained reconfigurable architectures

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Title
Evaluating memory architectures for media applications on coarse-grained reconfigurable architectures
Author
Lee, JongeunChoi, KDutt, ND
Keywords
Coarse-grained reconfigurable architecture; CRA; Media application; Memory architecture; Performance evaluation; Performance-oriented view; RAA; Reconfigurable ALU Array
Issue Date
2003
Publisher
Inderscience Enterprises
Citation
INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS, v.3, no.3, pp.172 - 182
Abstract
Reconfigurable ALU Array (RAA) architectures - representing a popular class of Coarse-grained Reconfigurable Architectures - are gaining in popularity especially for media applications due to their flexibility, regularity, and efficiency. In such architectures, memory is critical not only for configuration data but also for the heavy data traffic required by the application. In this paper, we offer a scheme for system designers to quickly estimate the performance of media applications on RAA architectures. Our experimental results demonstrate the flexibility of our memory architecture evaluation scheme as well as the varying effects of the memory architectures on the application performance.
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DOI
10.1504/IJES.2008.020293
ISSN
1741-1068
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EE_Journal Papers
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