集群VLIW体系结构的回溯优化DDG定向调度算法

Yang Xu, Tang Zhizhong, Guo Deyuan, H. Hu
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引用次数: 1

摘要

本文提出了一种指令调度方法来提高集群VLIW体系结构的性能。该方案基于通过分析数据依赖图(DDG)指导的初步调度阶段和回溯优化调度阶段,通过通过集群平衡工作负载并同时最小化集群间数据通信的惩罚来进一步改进。我们已经使用UTDSP基准测试实现和评估了提议的方案。结果显示性能有了显著的提高。加速率最高可达38.58%,平均加速率从23.91%(2集群)到26.78%(4集群)不等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Backtracking Optimized DDG Directed Scheduling Algorithm for Clustered VLIW Architectures
This work presents an instruction schedule approach to improve the performance of clustered VLIW architectures. The proposed scheme is based on a preliminary scheduling phase directed though analyzing of Data Dependence Graph (DDG) and a backtracking optimization scheduling phase bringing further improvement by balancing the workloads through clusters and minimizing the penalties of inter-cluster data communications simultaneously. We have implemented and evaluated the proposed scheme with UTDSP benchmarks. Results show a significant speed-up in performance. The speedup can up to 38.58%, with average speedup ranging from 23.91% (2-Clusters) to up to 26.78% (4-Clusters).
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