A new memory scheduling policy for real time systems

Ankita Samaddar, Moumita Das, A. Banerjee
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Abstract

In this paper, we propose a new memory DRAM controller scheduling policy for scheduling tasks in real time systems. Our proposal involves a memory bank aware partitioning strategy to partition the requests across banks based on a cost function on some task parameters to schedule memory requests so that the number of deadline misses get reduced significantly in a real time system. We used the Malardalen Worst Case Execution Time (WCET) benchmark programs as our real time tasks. We generated traces of these benchmark programs by running them on an X86 processor. We have developed an end to end setup from processor to memory and our results have been compared with state of the art DRAM controllers. Experimental results on these benchmark programs show the efficiency of our proposed scheme.
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一种新的实时系统内存调度策略
本文针对实时系统中的任务调度问题,提出了一种新的内存DRAM控制器调度策略。我们提出了一种内存库感知的分区策略,该策略基于任务参数的成本函数对请求进行跨银行的分区,以调度内存请求,从而在实时系统中显著减少错过截止日期的次数。我们使用Malardalen最坏情况执行时间(WCET)基准程序作为我们的实时任务。我们通过在X86处理器上运行这些基准程序来生成它们的跟踪。我们已经开发了从处理器到内存的端到端设置,我们的结果已经与最先进的DRAM控制器进行了比较。在这些基准程序上的实验结果表明了所提方案的有效性。
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