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

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

摘要

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