Balancing On-Chip Network Latency in Multi-application Mapping for Chip-Multiprocessors

Di Zhu, Lizhong Chen, Siyu Yue, T. Pinkston, Massoud Pedram
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引用次数: 11

Abstract

As the number of cores continues to grow in chip multiprocessors (CMPs), application-to-core mapping algorithms that leverage the non-uniform on-chip resource access time have been receiving increasing attention. However, existing mapping methods for reducing overall packet latency cannot meet the requirement of balanced on-chip latency when multiple applications are present. In this paper, we address the looming issue of balancing minimized on-chip packet latency with performance-awareness in the multi-application mapping of CMPs. Specifically, the proposed mapping problem is formulated, its NP-completeness is proven, and an efficient heuristic-based algorithm for solving the problem is presented. Simulation results show that the proposed algorithm is able to reduce the maximum average packet latency by 10.42% and the standard deviation of packet latency by 99.65% among concurrently running applications and, at the same time, incur little degradation in the overall performance.
在芯片多处理器多应用映射中平衡片上网络延迟
随着芯片多处理器(cmp)中内核数量的不断增长,利用芯片上不均匀资源访问时间的应用程序到内核映射算法受到越来越多的关注。然而,现有的减少整体数据包延迟的映射方法不能满足多个应用存在时平衡片上延迟的要求。在本文中,我们解决了在cmp的多应用映射中平衡最小化片上数据包延迟和性能感知的迫在眉睫的问题。具体地说,提出了映射问题,证明了它的np完备性,并给出了一种有效的基于启发式的求解算法。仿真结果表明,在并发运行的应用程序中,该算法能够将最大平均数据包延迟降低10.42%,数据包延迟标准差降低99.65%,同时对整体性能的影响很小。
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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