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Exploring memory controller configurations for many-core systems with 3D stacked DRAMs

机译:探索具有3D堆叠DRAM的多核系统的内存控制器配置

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Network-on-Chip (NoC) provides a scalable approach to integrate more and more cores on chip, while limited capacity and bandwidth of DRAMs becomes the performance bottleneck. To break the memory wall, 3D integration of DRAMs and processors using Through Silicon Vias (TSVs) has emerged. Distributed memory controllers (MCs) are allocated on chip in order to utilize the abundant bandwidth of stacked DRAMs, but unavoidably incur significant hardware overhead. In this paper, we analyze the design of memory controllers in NoC-based many-core systems with stack-DRAMs. By analyzing the interaction between NoCs and MCs, the optimal number and placement of MCs are explored. Specifically, a Genetic algorithm (GA) based approach is proposed to find the optimal memory controller placement with different number of DRAM partitions. We evaluate memory controller configurations for various memory-intensive applications in terms of network latency and energy, as well as thermal distribution.
机译:片上网络(NoC)提供了一种可扩展的方法,可以在芯片上集成越来越多的内核,而DRAM的有限容量和带宽成为性能瓶颈。为了打破内存壁,出现了使用硅通孔(TSV)的DRAM和处理器的3D集成。为了利用堆叠DRAM的丰富带宽,在芯片上分配了分布式内存控制器(MC),但不可避免地会产生大量的硬件开销。在本文中,我们分析了基于NoC的具有堆栈DRAM的多核系统中的存储控制器设计。通过分析NoC和MC之间的相互作用,探讨了MC的最佳数量和位置。具体而言,提出了一种基于遗传算法(GA)的方法来查找具有不同数量DRAM分区的最佳内存控制器位置。我们根据网络等待时间,能源和热量分布评估各种内存密集型应用程序的内存控制器配置。

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