转换线性系统的联合延迟和吞吐量优化

M. Srivastava, M. Potkonjak
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引用次数: 20

摘要

针对线性时不变DSP系统的重要情况,我们提出了同时优化吞吐量和延迟的算法转换。虽然吞吐量本身可以使用以前发布的技术任意提高,但是当考虑延迟约束时,它们都是无效的。我们使用了一种基于状态空间的方法,该方法以集成的方式处理各种算法转换,并分析地回答是否有可能同时满足任何给定的延迟和吞吐量约束组合。分析方法本质上是最优的和建设性的,并且在可行性条件满足时产生完整的实施。我们还提出了一种次优但硬件效率高的启发式方法。在所有基准测试中,新方法的结果都比已发表的方法要好得多
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transforming linear systems for joint latency and throughput optimization
We present algorithm transformations to simultaneously optimize for throughput and latency for the important case of linear time-invariant DSP systems. Although throughput alone can be arbitrarily improved using previously published techniques, none of them is effective when latency constraints are considered. We have used a state-space based approach which treats various algorithm transformations in an integrated fashion, and answers analytically whether it is possible to simultaneously meet any given combination of constraints on latency and throughput. The analytic approach is optimum and constructive in nature, and produces a complete implementation when feasibility conditions are fulfilled. We also present a sub-optimal but hardware efficient heuristic approach. On all benchmarks the new approaches show much superior results than published ones.<>
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