NDLI: Adaptive granularity memory systems: a tradeoff between storage efficiency and throughput

Content Provider	ACM Digital Library
Author	Erez, Mattan Yoon, Doe Hyun Jeong, Min Kyu
Abstract	We propose adaptive granularity to combine the best of fine-grained and coarse-grained memory accesses. We augment virtual memory to allow each page to specify its preferred granularity of access based on spatial locality and error-tolerance tradeoffs. We use sector caches and sub-ranked memory systems to implement adaptive granularity. We also show how to incorporate adaptive granularity into memory access scheduling. We evaluate our architecture with and without ECC using memory intensive benchmarks from the SPEC, Olden, PARSEC, SPLASH2, and HPCS benchmark suites and micro-benchmarks. The evaluation shows that performance is improved by 61% without ECC and 44% with ECC in memory-intensive applications, while the reduction in memory power consumption (29% without ECC and 14% with ECC) and traffic (78% without ECC and 66% with ECC) is significant.
Starting Page	295
Ending Page	306
Page Count	12
File Format	PDF MP4
ISBN	9781450304726
DOI	10.1145/2000064.2000100
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-06-04
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Main memory Ecc Access granularity
Content Type	Audio Text
Resource Type	Article

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Adaptive granularity memory systems: a tradeoff between storage efficiency and throughput