Optimal ILP-based Approach for Throughput Optimization Using Simultaneous Algorithm/Architecture Matching and Retiming

Y. G. DeCastelo-Vide-e-Souza, M. Potkonjak, A. C. Parker
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引用次数: 8

Abstract

System level design and behavior transformations have been rapidly establishing themselves as design steps with the most inuential impact on final performance metrics, throughput and latency, of a design. In this paper we develop a formal ILP-based approach for throughput and latency optimization when algorithm-architecture matching, retiming, and pipelining are considered simultaneously. The effectiveness of the approach is demonstrated on several real-life examples.
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基于最优ilp的并行算法/架构匹配和重定时吞吐量优化方法
系统级设计和行为转换已经迅速成为对设计的最终性能指标、吞吐量和延迟影响最大的设计步骤。在本文中,我们开发了一种正式的基于ilp的方法,用于同时考虑算法架构匹配、重定时和流水线时的吞吐量和延迟优化。通过几个实例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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