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Cache Access Fairness in 3D Mesh-Based NUCA

Wang, Zicong (författare)
Natl Univ Def Technol, Coll Comp, Changsha 410073, Hunan, Peoples R China.
Chen, Xiaowen (författare)
KTH,Elektronik och inbyggda system,Natl Univ Def Technol, Coll Comp, Changsha 410073, Hunan, Peoples R China
Lu, Zhonghai (författare)
KTH,Elektronik och inbyggda system
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Guo, Yang (författare)
Natl Univ Def Technol, Coll Comp, Changsha 410073, Hunan, Peoples R China.
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Natl Univ Def Technol, Coll Comp, Changsha 410073, Hunan, Peoples R China Elektronik och inbyggda system (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2018
2018
Engelska.
Ingår i: IEEE Access. - : Institute of Electrical and Electronics Engineers (IEEE). - 2169-3536. ; 6, s. 42984-42996
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Given the increase in cache capacity over the past few decades, cache access effciency has come to play a critical role in determining system performance. To ensure effcient utilization of the cache resources, non-uniform cache architecture (NUCA) has been proposed to allow for a large capacity and a short access latency. With the support of networks-on-chip (NoC), NUCA is often employed to organize the last level cache. However, this method also hurts cache access fairness, which denotes the degree of non-uniformity for cache access latencies. This drop in fairness can result in an increased number of cache accesses with overhigh latency, which leads to a bottleneck in system performance. This paper investigates the cache access fairness in the context of NoC-based 3-D chip architecture, and provides new insights into 3-D architecture design. We propose fair-NUCA (F-NUCA), a co-design scheme intended to optimize cache access fairness. In F-NUCA, we strive to improve fairness by equalizing cache access latencies. To achieve this goal, the memory mapping and the channel width are both redistributed non-uniformly, thereby equalizing the non-contention and contention latencies, respectively. The experimental results reveal that F-NUCA can effectively improve cache access fairness. When F-NUCA is compared with the traditional static NUCA in a simulation with PARSEC benchmarks, the average reductions in average latency and latency standard deviation are 4.64%/9.38% for a 4 x 4 x 2 mesh network, as well as 6.31%/13.51% for a 4 x 4 x 4 mesh network. In addition, a 4.0%/ 6.4% improvement in system throughput can be achieved for the two scales of mesh networks, respectively.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

3D chip architecture
cache memory
memory architecture
memory mapping
multiprocessor interconnection networks
networks-on-chip
non-uniform cache architecture

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Wang, Zicong
Chen, Xiaowen
Lu, Zhonghai
Guo, Yang
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NATURVETENSKAP
NATURVETENSKAP
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