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TANOR: A Tool for Accelerating N-body Simulations on Reconfigurable Platform
| Citations: | 6 - 2 self |
BibTeX
@MISC{Kim_tanor:a,
author = {J. S. Kim and P. Mangalagiri and K. Irick and V. Narayanan and K. Sobti and L. Deng and C. Chakrabarti},
title = {TANOR: A Tool for Accelerating N-body Simulations on Reconfigurable Platform},
year = {}
}
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Abstract
Algorithm-architecture co-exploration is hindered by the lack of efficient tools. As a consequence, designers are currently able to explore only a limited set of points in the whole design space. Therefore, a tool that can allow fast exploration of algorithmic and architectural tradeoffs in an automated manner is highly desired. In this paper, we describe TANOR an automated tool targeted for designing hardware accelerators for the class of N-body interaction problems. The design flow, starting from a high level (MATLAB) description, configures the entire system automatically. We describe the design of TANOR and demonstrate the effectiveness and adaptability of our tool using three different target applications, namely, the gravitational kernel used in astrophysics, the gaussian kernel common in image processing applications, and a force calculation kernel applied in molecular dynamics. Our results demonstrate that TANOR generates hardware accelerator that are competitive with existing custom accelerator. 1.
Keyphrases
reconfigurable platform n-body simulation hardware accelerator molecular dynamic automated tool custom accelerator efficient tool image processing application limited set high level entire system algorithm-architecture co-exploration force calculation kernel gaussian kernel design flow whole design space architectural tradeoff n-body interaction problem different target application gravitational kernel fast exploration automated manner
