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  1. Proceedings of the 2011 ACM SIGPLAN Workshop on Memory Systems Performance and Correctness (MSPC '11)
  2. Minor memory references matter in collaborative caching
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There is nothing wrong with out-of-thin-air: compiler optimization and memory models
Extended sequential reasoning for data-race-free programs
The impact of diverse memory architectures on multicore consumer software: an industrial perspective from the video games domain
Garbage collection for multicore NUMA machines
A programming model for deterministic task parallelism
Data-race exceptions have benefits beyond the memory model
Let there be light!: the future of memory systems is photonics and 3D stacking
Deferred gratification: engineering for high performance garbage collection from the get go
Performance implications of fence-based memory models
Minor memory references matter in collaborative caching
Approximating inclusion-based points-to analysis
How to fit program footprint curves

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Minor memory references matter in collaborative caching

Content Provider ACM Digital Library
Author Gu, Xiaoming
Abstract Collaborative caching uses different caching methods, e. g., LRU and MRU, for data with good or poor locality. Poorlocality data are evicted by MRU quickly, leaving most cache space to hold good-locality data by LRU. In our previous study, we selected static memory references with poor locality to use MRU but neglected minor references, which are memory instructions that contribute no more than 0.1% total memory accesses. After removing this restriction, we found that three SPEC CPU benchmarks have on average 6.2 times fewer miss reduction or 9.8% reduction in absolute miss ratio.
Starting Page 49
Ending Page 50
Page Count 2
File Format PDF
ISBN 9781450307949
DOI 10.1145/1988915.1988927
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-06-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Mru Opt Collaborative caching Lru
Content Type Text
Resource Type Article
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