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Efficient Data Placement for Improving Data Access Performance on Domain-Wall Memory

机译:高效的数据放置,以提高域壁内存上的数据访问性能

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A domain-wall memory (DWM) is becoming an attractive candidate to replace the traditional memories for its high density, low-power leakage, and low access latency. Accessing data on DWM is accomplished by shift operations that move data located on nanowires to read/write ports. Due to this kind of construction, data accesses on DWM exhibit varying access latencies. Therefore, data placement (DP) strategy has a significant impact on the performance of data accesses on DWM. In this paper, we prove the nondeterministic polynomial time (NP)-completeness of the DP problem on DWM. For the DWMs organized in single DWM block cluster (DBC), we present integer linear programming formulations to solve the problem optimally. We also propose an efficient single DBC placement (S-DBC-P) algorithm to exploit the benefits of multiple read/write ports and data locality. Compared with the sequential DP strategy, S-DBC-P reduces 76.9% shift operations on average for eight-port DWMs. Furthermore, for DP problem on the DWMs organized in multiple DBCs, we develop an efficient multiple DBC placement (M-DBC-P) algorithm to utilize the parallelism of DBCs. The experimental results show that the M-DBC-P achieves 90% performance improvement over the sequential DP strategy.
机译:域壁存储器(DWM)正因其高密度,低功耗和低访问延迟而成为替代传统存储器的诱人候选。通过将纳米线上的数据移动到读/写端口的移位操作来完成DWM上的数据访问。由于这种构造,DWM上的数据访问展现出不同的访问延迟。因此,数据放置(DP)策略对DWM上的数据访问性能具有重大影响。在本文中,我们证明了DWM上DP问题的不确定多项式时间(NP)-完备性。对于组织在单个DWM块群集(DBC)中的DWM,我们提出了整数线性规划公式,以最佳地解决该问题。我们还提出了一种有效的单个DBC放置(S-DBC-P)算法,以利用多个读/写端口和数据局部性的好处。与顺序DP策略相比,对于八端口DWM,S-DBC-P平均减少了76.9%的移位操作。此外,针对组织在多个DBC中的DWM上的DP问题,我们开发了一种有效的多重DBC放置(M-DBC-P)算法,以利用DBC的并行性。实验结果表明,与顺序DP策略相比,M-DBC-P的性能提高了90%。

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