Venice: Exploring Server Architectures for Effective Resource Sharing
Paper i proceeding, 2016

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 decisions about 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.


Jianbo Dong

Chinese Academy of Sciences

Rui Hou

Chinese Academy of Sciences

Michael Huang

University of Rochester

Tao Jiang

Chinese Academy of Sciences

Boyan Zhao

Chinese Academy of Sciences

Sally A McKee

Chalmers, Data- och informationsteknik, Datorteknik

Haibin Wang


Xiaosong Cui


Lixin Zhang

Chinese Academy of Sciences

Proceedings - International Symposium on High-Performance Computer Architecture

15300897 (ISSN)

Vol. 2016-April 507-518 7446090
978-1-4673-9211-2 (ISBN)



Datavetenskap (datalogi)


Informations- och kommunikationsteknik





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