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SC Conference - Activity Details
Enabling Software Management for Multicore Caches with a Lightweight Hardware Support
Authors:
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Jiang Lin
(Iowa State University)
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Qingda Lu
(Ohio State University)
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Xiaoning Ding
(Ohio State University)
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Zhao Zhang
(Iowa State University)
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Xiaodong Zhang
(Ohio State University)
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Ponnuswamy Sadayappan
(Ohio State University)
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Papers Session
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Cache Techniques
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Tuesday, 02:30PM - 03:00PM
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Room PB255
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Abstract:
The management of shared caches in multicore processors is a critical
and challenging task. Many hardware and OS-based methods have been
proposed. However, they may be hardly adopted in practice due to their
non-trivial overheads, high complexities, and/or limited abilities to
handle increasingly complicated scenarios of cache contention caused
by many-cores.
In order to turn cache partitioning methods into reality in the
management of multicore processors, we propose to provide an
affordable and lightweight hardware support to coordinate with
OS-based cache management policies. The proposed methods are scalable
to many-cores, and perform comparably with other proposed hardware
solutions, but have much lower overheads, therefore can be easily
adopted in commodity processors. Having conducted extensive
experiments with 37 multi-programming workloads, we show the
effectiveness and scalability of the proposed methods. For example on
8-core systems, one of our proposed policies improves performance over
LRU-based hardware cache management by 14.5\% on average.
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