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Exploring Partitions Based on Search Space Smoothing for Heterogeneous Multiprocessor System

机译:基于搜索空间平滑的异构多处理器系统分区探索

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摘要

Programming the multiprocessor system-on-chip (MP-SoC) requires partitioning the sequential reference programs onto multiple processors running in parallel. However, designers still need to partition the code manually due to the lack of automated partition techniques. To settle this issue, this paper proposes a partition exploration algorithm based on the search space smoothing techniques, and implements the proposed method using a commercial extensible processor (Xtensa LX2 processor from Tensilica Inc.). We have verified the feasibility of the algorithm by implementing the MPEG2 benchmark on the Xtensa-based two-processor system. The final experimental results indicate a performance improvement of at least 1.6× compared to the single-processor system.
机译:对多处理器片上系统 (MP-SoC) 进行编程需要将顺序参考程序分区到并行运行的多个处理器上。但是,由于缺乏自动分区技术,设计人员仍然需要手动对代码进行分区。为了解决这一问题,该文提出了一种基于搜索空间平滑技术的分区探索算法,并使用商用可扩展处理器(Tensilica Inc.的Xtensa LX2处理器)实现了该算法。我们通过在基于 Xtensa 的双处理器系统上实现 MPEG2 基准测试来验证该算法的可行性。最终的实验结果表明,与单处理器系统相比,性能至少提高了 1.6×。

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