Serving DNNs in Real Time at Datacenter Scale with Project Brainwave.

Eric S. Chung,Jeremy Fowers,Kalin Ovtcharov,Michael Papamichael,Adrian M. Caulfield,Todd Massengill,Ming Liu,Daniel Lo,Shlomi Alkalay,Michael Haselman,Maleen Abeydeera,Logan Adams,Hari Angepat, Christian Boehn,Derek Chiou,Oren Firestein,Alessandro Forin, Kang Su Gatlin,Mahdi Ghandi,Stephen Heil,Kyle Holohan, Ahmad El Husseini,Tamás Juhász,Kara Kagi, Ratna Kovvuri,Sitaram Lanka, Friedel van Megen, Dima Mukhortov,Prerak Patel,Brandon Perez, Amanda Rapsang,Steven K. Reinhardt,Bita Rouhani,Adam Sapek,Raja Seera, Sangeetha Shekar,Balaji Sridharan,Gabriel Weisz,Lisa Woods,Phillip Yi Xiao,Dan Zhang,Ritchie Zhao,Doug Burger

IEEE Micro（2018）

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摘要

To meet the computational demands required of deep learning, cloud operators are turning toward specialized hardware for improved efficiency and performance. Project Brainwave, Microsofts principal infrastructure for AI serving in real time, accelerates deep neural network (DNN) inferencing in major services such as Bings intelligent search features and Azure. Exploiting distributed model parallel...

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关键词

Field programmable gate arrays,Data centers,Brain modeling,Real-time systems,System-on-chip,Neural networks

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