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Traffic-Aware and Memory-Aware Task Scheduling on Multi-Core Chips

机译:多核芯片上的流量感知和内存感知任务调度

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With the development of semiconductor industry and integrated circuits, the performance of processors has been advanced steadily. More and more devices including cores, memories and peripherals are being integrated in chips to meet the requirements of high performance applications. The rapid increase in chip complexity makes it difficult for these devices to work efficiently. In order to facilitate efficient chips systems, we proposed a task scheduling algorithm for Chip Multi-Processors (CMP) which are called Homogeneous Earliest-Finish-Time (HoEFT) algorithm. We use this algorithm to finish two benchmarks on a chip system consisting of eight Processing Elements (PEs) and a 16MB shared memory. The results show that these PEs can reach reasonable utilization under HoEFT algorithm.
机译:随着半导体行业和集成电路的发展,处理器的性能已经稳步推进。越来越多的设备包括核心,存储器和外围设备,在芯片中集成在芯片中,以满足高性能应用的要求。芯片复杂性的快速增加使得这些设备难以有效地工作。为了便于有效的芯片系统,我们提出了一种用于芯片多处理器(CMP)的任务调度算法,其称为均匀的最早结束时(HOAFT)算法。我们使用该算法在由八个处理元件(PE)和16MB共享内存组成的芯片系统上完成两个基准测试。结果表明,这些PE可以在HOAFT算法下达到合理的利用率。

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