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Venice: Exploring Server Architectures for Effective Resource Sharing

Dong, Jianbo (author)
Chinese Academy of Sciences
Hou, Rui (author)
Chinese Academy of Sciences
Huang, Michael (author)
University of Rochester
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Jiang, Tao (author)
Chinese Academy of Sciences
Zhao, Boyan (author)
Chinese Academy of Sciences
McKee, Sally A, 1963 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Wang, Haibin (author)
Huawei Technologies Co Ltd
Cui, Xiaosong (author)
Huawei Technologies Co Ltd
Zhang, Lixin (author)
Chinese Academy of Sciences
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 (creator_code:org_t)
ISBN 9781467392112
2016
2016
English.
In: Proceedings - International Symposium on High-Performance Computer Architecture. - 1530-0897. - 9781467392112 ; 2016-April, s. 507-518
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Consolidated server racks are quickly becoming the backbone of IT infrastructure for science, engineering, and business, alike. These servers are still largely built and organized as when they were distributed, individual entities. Given that many fields increasingly rely on analytics of huge datasets, it makes sense to support flexible resource utilization across servers to improve cost-effectiveness and performance. We introduce Venice, a family of data-center server architectures that builds a strong communication substrate as a first-class resource for server chips. Venice provides a diverse set of resource-joining mechanisms that enables user programs to efficiently leverage non-local resources.To better understand the implications of design decisionsabout system support for resource sharing we have constructed a hardware prototype that allows us to more accurately measure end-to-end performance of at-scale applications and to explore tradeoffs among performance, power, and resource-sharing transparency. We present results from our initial studies analyzing these tradeoffs when sharing memory, accelerators, or NICs. We find that it is particularly important to reduce or hide latency, that data-sharing access patterns should match the features of the communication channels employed, and that inter-channel collaboration can be exploited for better performance.

Subject headings

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

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