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Non-preemptive offline multi-job mapping for a photonic network on a chip

机译：芯片上光子网络的非抢先离线多任务映射

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摘要

The demand for robust computation systems has led to increases in the number of processing cores in current chips. Photonic interconnection has been suggested to facilitate communication in an on-chip infrastructure with a high bandwidth, low power consumption, and scalable structure. A photonic network on a chip can provide interconnections to integrate hundreds of processing cores on a chip, where this structure is suitable for running multiple jobs on a single chip. In this study, we propose a chain of offline multi-job mapping in a photonic network on a chip to improve the delay and power consumption ​by using a scheduling, allocation, and mapping algorithm. ​Using the proposed method, the smallest time size first (STSF) scheduling algorithm can be improved by at least 15% in terms of the average waiting time and by 14% for the average response time. Furthermore, with the ​STSF/ROW/ROW/loss aware (LA) (scheduling/allocation/migration/mapping) schema, the execution time and energy efficiency can be improved by up to 32% and 28 %, respectively.
机译：对鲁棒计算系统的需求已导致当前芯片中处理核的数量增加。已经提出光子互连以促进具有高带宽，低功耗和可扩展结构的片上基础设施中的通信。芯片上的光子网络可以提供互连，以在芯片上集成数百个处理核心，其中这种结构适合在单个芯片上运行多个作业。在这项研究中，我们提出了一种在芯片上的光子网络中的离线多作业映射链，以通过使用调度，分配和映射算法来改善延迟和功耗。使用提出的方法，最小时间大小优先（STSF）调度算法可以将平均等待时间至少提高15％，将平均响应时间提高14％。此外，借助STSF / ROW / ROW /损失感知（LA）（计划/分配/迁移/映射）方案，执行时间和能效分别可以提高32％和28％。

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