Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/632003
Title: Sirius Implications for Future Warehouse-Scale Computers
Authors: Johann Hauswald;Michael A. Laurenzano;Yunqi Zhang;Cheng Li;Austin Rovinski;Arjun Khurana;Ronald G. Dreslinski;Trevor Mudge;Vinicius Petrucci;Lingjia Tang;Jason Mars
subject: datacenters|intelligent personal assistant|Siri|cloud computing|warehouse scale computers|system design|Sirius project|emerging workloads
Year: 2016
Publisher: IEEE
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.
Description: 
URI: http://localhost/handle/Hannan/183332
http://localhost/handle/Hannan/632003
ISSN: 0272-1732
volume: 36
issue: 3
Appears in Collections:2016

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Title: Sirius Implications for Future Warehouse-Scale Computers
Authors: Johann Hauswald;Michael A. Laurenzano;Yunqi Zhang;Cheng Li;Austin Rovinski;Arjun Khurana;Ronald G. Dreslinski;Trevor Mudge;Vinicius Petrucci;Lingjia Tang;Jason Mars
subject: datacenters|intelligent personal assistant|Siri|cloud computing|warehouse scale computers|system design|Sirius project|emerging workloads
Year: 2016
Publisher: IEEE
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.
Description: 
URI: http://localhost/handle/Hannan/183332
http://localhost/handle/Hannan/632003
ISSN: 0272-1732
volume: 36
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7478443.pdf959.36 kBAdobe PDFThumbnail
Preview File
Title: Sirius Implications for Future Warehouse-Scale Computers
Authors: Johann Hauswald;Michael A. Laurenzano;Yunqi Zhang;Cheng Li;Austin Rovinski;Arjun Khurana;Ronald G. Dreslinski;Trevor Mudge;Vinicius Petrucci;Lingjia Tang;Jason Mars
subject: datacenters|intelligent personal assistant|Siri|cloud computing|warehouse scale computers|system design|Sirius project|emerging workloads
Year: 2016
Publisher: IEEE
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.
Description: 
URI: http://localhost/handle/Hannan/183332
http://localhost/handle/Hannan/632003
ISSN: 0272-1732
volume: 36
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7478443.pdf959.36 kBAdobe PDFThumbnail
Preview File