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In-datacenter performance analysis of a tensor processing unit
In-datacenter performance analysis of a tensor processing unit
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

In-datacenter performance analysis of a tensor processing unit

Jouppi, Norman P. ; Borchers, Al ; Boyle, Rick ; Cantin, Pierre-luc ; Chao, Clifford ; Clark, Chris ; Coriell, Jeremy ; Daley, Mike ; Dau, Matt ; Dean, Jeffrey ; Gelb, Ben ; Young, Cliff ; Ghaemmaghami, Tara Vazir ; Gottipati, Rajendra ; Gulland, William ; Hagmann, Robert ; Ho, C. Richard ; Hogberg, Doug ; Hu, John ; Hundt, Robert ; Hurt, Dan ; Ibarz, Julian ; Patil, Nishant ; Jaffey, Aaron ; Jaworski, Alek ; Kaplan, Alexander ; Khaitan, Harshit ; Killebrew, Daniel ; Koch, Andy ; Kumar, Naveen ; Lacy, Steve ; Laudon, James ; Law, James ; Patterson, David ; Le, Diemthu ; Leary, Chris ; Liu, Zhuyuan ; Lucke, Kyle ; Lundin, Alan ; MacKean, Gordon ; Maggiore, Adriana ; Mahony, Maire ; Miller, Kieran ; Nagarajan, Rahul ; Agrawal, Gaurav ; Narayanaswami, Ravi ; Ni, Ray ; Nix, Kathy ; Norrie, Thomas ; Omernick, Mark ; Penukonda, Narayana ; Phelps, Andy ; Ross, Jonathan ; Ross, Matt ; Salek, Amir ; Bajwa, Raminder ; Samadiani, Emad ; Severn, Chris ; Sizikov, Gregory ; Snelham, Matthew ; Souter, Jed ; Steinberg, Dan ; Swing, Andy ; Tan, Mercedes ; Thorson, Gregory ; Tian, Bo ; Bates, Sarah ; Toma, Horia ; Tuttle, Erick ; Vasudevan, Vijay ; Walter, Richard ; Wang, Walter ; Wilcox, Eric ; Yoon, Doe Hyun ; Bhatia, Suresh ; Boden, Nan

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.1-12

ACM

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2
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Zhang, Richard ; Isola, Phillip ; Efros, Alexei A. ; Shechtman, Eli ; Wang, Oliver

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.586-595

IEEE

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3
Exploring the tradeoffs between programmability and efficiency in data-parallel accelerators
Exploring the tradeoffs between programmability and efficiency in data-parallel accelerators
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

Exploring the tradeoffs between programmability and efficiency in data-parallel accelerators

Lee, Yunsup ; Avizienis, Rimas ; Bishara, Alex ; Xia, Richard ; Lockhart, Derek ; Batten, Christopher ; Asanović, Krste

2011 38th Annual International Symposium on Computer Architecture (ISCA), 2011, p.129-140

ACM

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4
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs

Singh, Sonali ; Sarma, Anup ; Jao, Nicholas ; Pattnaik, Ashutosh ; Lu, Sen ; Yang, Kezhou ; Sengupta, Abhronil ; Narayanan, Vijaykrishnan ; Das, Chita R.

2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 2020, p.363-376

IEEE

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5
Practical Block-Wise Neural Network Architecture Generation
Practical Block-Wise Neural Network Architecture Generation
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Practical Block-Wise Neural Network Architecture Generation

Zhong, Zhao ; Yan, Junjie ; Wu, Wei ; Shao, Jing ; Liu, Cheng-Lin

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.2423-2432

IEEE

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6
Learning to Localize Sound Source in Visual Scenes
Learning to Localize Sound Source in Visual Scenes
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Ata de Congresso 		Adicionar ao Meu Espaço

Learning to Localize Sound Source in Visual Scenes

Senocak, Arda ; Oh, Tae-Hyun ; Kim, Junsik ; Yang, Ming-Hsuan ; Kweon, In So

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.4358-4366

IEEE

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7
Anton 2: raising the bar for performance and programmability in a special-purpose molecular dynamics supercomputer
Anton 2: raising the bar for performance and programmability in a special-purpose molecular dynamics supercomputer
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

Anton 2: raising the bar for performance and programmability in a special-purpose molecular dynamics supercomputer

Shaw, David ; Grossman, J ; Bank, Joseph ; Batson, Brannon ; Butts, J ; Chao, Jack ; Deneroff, Martin ; Dror, Ron ; Even, Amos ; Fenton, Christopher ; Forte, Anthony ; Gagliardo, Joseph ; Gill, Gennette ; Greskamp, Brian ; Ho, C ; Ierardi, Douglas ; Iserovich, Lev ; Kuskin, Jeffrey ; Larson, Richard ; Layman, Timothy ; Lee, Li-Siang ; Lerer, Adam ; Li, Chester ; Killebrew, Daniel ; Mackenzie, Kenneth ; Mok, Shark ; Moraes, Mark ; Mueller, Rolf ; Nociolo, Lawrence ; Peticolas, Jon ; Quan, Terry ; Ramot, Daniel ; Salmon, John ; Scarpazza, Daniele ; Ben Schafer, U ; Siddique, Naseer ; Snyder, Christopher ; Spengler, Jochen ; Tang, Ping ; Theobald, Michael ; Toma, Horia ; Towles, Brian ; Vitale, Benjamin ; Wang, Stanley ; Young, Cliff

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2014, p.41-53

IEEE Press

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8
A Novel Region of Interest Extraction Layer for Instance Segmentation
A Novel Region of Interest Extraction Layer for Instance Segmentation
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Ata de Congresso 		Adicionar ao Meu Espaço

A Novel Region of Interest Extraction Layer for Instance Segmentation

Rossi, Leonardo ; Karimi, Akbar ; Prati, Andrea

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.2203-2209

IEEE

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9
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
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Learning Transferable Architectures for Scalable Image Recognition

Zoph, Barret ; Vasudevan, Vijay ; Shlens, Jonathon ; Le, Quoc V.

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.8697-8710

IEEE

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10
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
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Ata de Congresso 		Adicionar ao Meu Espaço

Learning to Compare: Relation Network for Few-Shot Learning

Sung, Flood ; Yang, Yongxin ; Zhang, Li ; Xiang, Tao ; Torr, Philip H.S. ; Hospedales, Timothy M.

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.1199-1208

IEEE

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