具有QoS的3D-DRAM和外部DRAM的异构内存管理

L. Tran, F. Kurdahi, A. Eltawil, H. Homayoun
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引用次数: 19

摘要

本文提出了一种创新的内存管理方法,可以同时利用3D-DRAM和外部DRAM(前DRAM)。我们的方法在3D-DRAM和ex-DRAM之间动态分配和重新定位内存块,以利用3D-DRAM的高内存带宽和低内存延迟以及ex-DRAM的高容量和低成本。我们的模拟表明,在非内存密集型工作负载中,我们的内存管理技术将所有活动内存块转移到比前dram更快的3D-DRAM上。在内存密集型工作负载中,我们的内存管理技术同时利用3D-DRAM和ex-DRAM来增加内存带宽,以缓解带宽拥塞。我们的方法支持“延迟敏感”、“带宽敏感”和“不敏感”应用程序的服务质量(QoS)。为了提高性能和满足一定程度的QoS,不同应用类型的内存块分配是不同的。与scratchpad内存管理机制相比,我们的方法的平均内存访问延迟减少了19%和23%,而在单线程基准测试和多线程基准测试中,性能分别提高了5%和12%。此外,使用我们的方法,应用程序不需要像在scratchpad案例中那样显式地管理内存。我们的内存块重定位带来的性能开销可以忽略不计,特别是对于具有高空间内存局部性的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heterogeneous memory management for 3D-DRAM and external DRAM with QoS
This paper presents an innovative memory management approach to utilize both 3D-DRAM and external DRAM (ex-DRAM). Our approach dynamically allocates and relocates memory blocks between the 3D-DRAM and the ex-DRAM to exploit the high memory bandwidth and the low memory latency of the 3D-DRAM as well as the high capacity and the low cost of the ex-DRAM. Our simulation shows that in workloads that are not memory intensive, our memory management technique transfers all active memory blocks to the 3D-DRAM which runs faster than the ex-DRAM. In memory intensive workloads, our memory management technique utilizes both the 3D-DRAM and the ex-DRAM to increase the memory bandwidth to alleviate bandwidth congestion. Our approach supports Quality of Service (QoS) for “latency sensitive”, “bandwidth sensitive”, and “insensitive” applications. To improve the performance and satisfy a certain level of QoS, memory blocks of different application types are allocated differently. Compared to the scratchpad memory management mechanism, the average memory access latency of our approach decreases by 19% and 23%, while performance improves by up to 5% and 12% in single threaded benchmarks and multi-threaded benchmarks respectively. Moreover, using our approach, applications do not need to manage memory explicitly like in the scratchpad case. Our memory block relocation comes with negligible performance overhead, particularly for applications which have high spatial memory locality.
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