Sirius Implications for Future Warehouse-Scale Computers

Johann Hauswald; Michael A. Laurenzano; Yunqi Zhang; Cheng Li; Austin Rovinski; Arjun Khurana; Ronald G. Dreslinski; Trevor Mudge; Vinicius Petrucci; Lingjia Tang; Jason Mars

doi:10.1109/MM.2016.37

Sirius Implications for Future Warehouse-Scale Computers

Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G. Dreslinski, Trevor Mudge, Vinicius Petrucci, Lingjia Tang, Jason Mars

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Demand is expected to grow significantly for cloud services that deliver sophisticated artificial intelligence on the critical path of user queries, as is the case with intelligent personal assistants such as Apple's Siri. If the prediction of the trend is correct, these types of applications will likely consume most of the world's computing cycles. The Sirius project was motivated to investigate what this future might look like and how cloud architectures should evolve to achieve it.

Original language	English (US)
Article number	7478443
Pages (from-to)	42-53
Number of pages	12
Journal	IEEE Micro
Volume	36
Issue number	3
DOIs	https://doi.org/10.1109/MM.2016.37
State	Published - May 1 2016

Keywords

cloud computing
datacenters
emerging workloads
intelligent personal assistant
Siri
Sirius project
system design
warehouse scale computers

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/MM.2016.37

Cite this

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abstract = "Demand is expected to grow significantly for cloud services that deliver sophisticated artificial intelligence on the critical path of user queries, as is the case with intelligent personal assistants such as Apple's Siri. If the prediction of the trend is correct, these types of applications will likely consume most of the world's computing cycles. The Sirius project was motivated to investigate what this future might look like and how cloud architectures should evolve to achieve it.",

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AU - Khurana, Arjun

AU - Dreslinski, Ronald G.

AU - Mudge, Trevor

AU - Petrucci, Vinicius

AU - Tang, Lingjia

AU - Mars, Jason

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AB - Demand is expected to grow significantly for cloud services that deliver sophisticated artificial intelligence on the critical path of user queries, as is the case with intelligent personal assistants such as Apple's Siri. If the prediction of the trend is correct, these types of applications will likely consume most of the world's computing cycles. The Sirius project was motivated to investigate what this future might look like and how cloud architectures should evolve to achieve it.

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KW - system design

KW - warehouse scale computers

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Sirius Implications for Future Warehouse-Scale Computers

Abstract

Keywords

ASJC Scopus subject areas

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