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Refinado por: Base de dados/Biblioteca: ACM Digital Library (Association for Computing Machinery) remover tipo de recurso: Anais de Congresso remover
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1
A Context-Sensitive Nomadic Exhibition Guide
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A Context-Sensitive Nomadic Exhibition Guide

Oppermann, Reinhard ; Specht, Marcus Gellersen, Hans-Werner ; Thomas, Peter J.

Lecture notes in computer science, 2000, Vol.1927, p.127-142 [Periódico revisado por pares]

Berlin, Heidelberg: Springer-Verlag

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Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture
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Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture

Shao, Yakun Sophia ; Clemons, Jason ; Venkatesan, Rangharajan ; Zimmer, Brian ; Fojtik, Matthew ; Jiang, Nan ; Keller, Ben ; Klinefelter, Alicia ; Pinckney, Nathaniel ; Raina, Priyanka ; Tell, Stephen G. ; Zhang, Yanqing ; Dally, William J. ; Emer, Joel ; Gray, C. Thomas ; Khailany, Brucek ; Keckler, Stephen W.

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019, p.14-27

New York, NY, USA: ACM

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Flipping bits in memory without accessing them: an experimental study of DRAM disturbance errors
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Flipping bits in memory without accessing them: an experimental study of DRAM disturbance errors

Kim, Yoongu ; Daly, Ross ; Kim, Jeremie ; Fallin, Chris ; Lee, Ji Hye ; Lee, Donghyuk ; Wilkerson, Chris ; Lai, Konrad ; Mutlu, Onur

Computer architecture news, 2014, Vol.42 (3), p.361-372

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A reconfigurable fabric for accelerating large-scale datacenter services
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A reconfigurable fabric for accelerating large-scale datacenter services

Putnam, Andrew ; Caulfield, Adrian M. ; Chung, Eric S. ; Chiou, Derek ; Constantinides, Kypros ; Demme, John ; Esmaeilzadeh, Hadi ; Fowers, Jeremy ; Gopal, Gopi Prashanth ; Gray, Jan ; Haselman, Michael ; Hauck, Scott ; Heil, Stephen ; Hormati, Amir ; Kim, Joo-Young ; Lanka, Sitaram ; Larus, James ; Peterson, Eric ; Pope, Simon ; Smith, Aaron ; Thong, Jason ; Xiao, Phillip Yi ; Burger, Doug

Proceeding of the 41st annual international symposium on Computer architecuture, 2014, p.13-24

Piscataway, NJ, USA: IEEE Press

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Ares: a framework for quantifying the resilience of deep neural networks
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Ares: a framework for quantifying the resilience of deep neural networks

Reagen, Brandon ; Gupta, Udit ; Pentecost, Lillian ; Whatmough, Paul ; Lee, Sae Kyu ; Mulholland, Niamh ; Brooks, David ; Wei, Gu-Yeon

Proceedings of the 55th Annual Design Automation Conference, 2018, p.1-6

New York, NY, USA: ACM

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A scalable processing-in-memory accelerator for parallel graph processing
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A scalable processing-in-memory accelerator for parallel graph processing

Ahn, Junwhan ; Hong, Sungpack ; Yoo, Sungjoo ; Mutlu, Onur ; Choi, Kiyoung

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015, p.105-117

New York, NY, USA: ACM

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7
DaDianNao: A Machine-Learning Supercomputer
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DaDianNao: A Machine-Learning Supercomputer

Chen, Yunji ; Luo, Tao ; Liu, Shaoli ; Zhang, Shijin ; He, Liqiang ; Wang, Jia ; Li, Ling ; Chen, Tianshi ; Xu, Zhiwei ; Sun, Ninghui ; Temam, Olivier

2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014, p.609-622

Washington, DC, USA: IEEE Computer Society

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ShiDianNao: shifting vision processing closer to the sensor
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ShiDianNao: shifting vision processing closer to the sensor

Du, Zidong ; Fasthuber, Robert ; Chen, Tianshi ; Ienne, Paolo ; Li, Ling ; Luo, Tao ; Feng, Xiaobing ; Chen, Yunji ; Temam, Olivier

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015, p.92-104

New York, NY, USA: ACM

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ImageNet Training in Minutes
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ImageNet Training in Minutes

You, Yang ; Zhang, Zhao ; Hsieh, Cho-Jui ; Demmel, James ; Keutzer, Kurt

Proceedings of the 47th International Conference on Parallel Processing, 2018, p.1-10

New York, NY, USA: ACM

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10
Refactoring and Optimizing WRF Model on Sunway TaihuLight
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Refactoring and Optimizing WRF Model on Sunway TaihuLight

Xu, Kai ; Song, Zhenya ; Chan, Yuandong ; Wang, Shida ; Meng, Xiangxu ; Liu, Weiguo ; Xue, Wei

Proceedings of the 48th International Conference on Parallel Processing, 2019, p.1-10

New York, NY, USA: ACM

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