Design Guidelines for High-Performance SCM Hierarchies

With emerging storage-class memory (SCM) nearing commercialization, there is evidence that it will deliver the much-anticipated high density and access latencies within only a fewfactors of DRAM. Nevertheless, the latency-sensitive nature of memory-resident services makes seamless integration of SCM in servers questionable. In this paper, we ask the question of how best to introduce SCM for such servers to improve overall performance/cost over existing DRAM-only architectures. We first show that even with the most optimistic latency projections for SCM, the higher memory access latency results in prohibitive performance degradation. However, we find that deployment of a modestly sized high-bandwidth 3D stacked DRAM cache makes the performance of an SCM-mostly memory system competitive. The high degree of spatial locality that memory-resident services exhibit not only simplifies the DRAM cache’s design as page-based, but also enables the amortization of increased SCM access latencies and the mitigation of SCM’s read/write latency disparity. We identify the set of memory hierarchy design parameters that plays a key role in the performance and cost of a memory system combining an SCM technology and a 3D stacked DRAM cache. We then introduce a methodology to drive provisioning for each of these design parameters under a target performance/cost goal. Finally, we use our methodology to derive concrete results for specific SCM technologies. With PCM as a case study, we show that a two bits/cell technology hits the performance/cost sweet spot, reducing the memory subsystem cost by 40% while keeping performance within 3% of the best performing DRAM-only system, whereas single-level and triple-level cell organizations are impractical for use as memory replacements.


Published in:
Proceedings of the 4th International Symposium on Memory Systems (MEMSYS)
Presented at:
4th International Symposium on Memory Systems (MEMSYS), Old Town Alexandria, VA, USA, October 1-4, 2018
Year:
Oct 01 2018
Publisher:
Old Town Alexandria, VA, USA, ACM
ISBN:
978-1-4503-6475-1/18/10
Keywords:
Laboratories:


Note: The file is under embargo until: 2018-10-01


 Record created 2018-10-06, last modified 2018-10-08

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