Title: Evaluating memory architectures for media applications on Coarse-grained Reconfigurable Architectures
Authors: Jong Eun Lee, Kiyoung Choi, Nikil Dutt
Addresses: Department of CSE, Arizona State University, Tempe, AZ 85287, USA. ' School of EECS, Seoul National University, Seoul 151-744, Korea. ' Department of CS and EECS, University of California, Irvine, CA 92697, USA
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.
Keywords: reconfigurable ALU array; RAA architectures; memory architecture; coarse-grained reconfigurable architecture; CRA; performance evaluation; media applications; performance-oriented view; memory architecture evaluation.
International Journal of Embedded Systems, 2008 Vol.3 No.3, pp.119 - 127
Published online: 14 Sep 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article