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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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12
Filter Caching for Free: The Untapped Potential of the Store-Buffer
Filter Caching for Free: The Untapped Potential of the Store-Buffer
Material Type:
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Filter Caching for Free: The Untapped Potential of the Store-Buffer

Alves, Ricardo ; Ros, Alberto ; Black-Schaffer, David ; Kaxiras, Stefanos

2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA), 2019, p.436-448

ACM

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13
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
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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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14
Maximizing CNN accelerator efficiency through resource partitioning
Maximizing CNN accelerator efficiency through resource partitioning
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Maximizing CNN accelerator efficiency through resource partitioning

Yongming Shen ; Ferdman, Michael ; Milder, Peter

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.535-547

ACM

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15
The future of an intelligent and responsive architecture design after the COVID 19 epidemic
The future of an intelligent and responsive architecture design after the COVID 19 epidemic
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

The future of an intelligent and responsive architecture design after the COVID 19 epidemic

Aalhashem, Noor A. M. ; Al-Kaissi, Kameelal A. ; Khaled, Teba Tariq ; Al-Sharify, Talib A. ; Al-Sharify, Zainab T. ; Naser, Zainab Abdulrazak ; Al-Hamd, Rwayda Kh.S. Al-Moameri, Harith H. ; Rushdi, Salih A. ; Al-Sharify, Zainab T.

AIP conference proceedings, 2023, Vol.2787 (1) [Periódico revisado por pares]

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16
Exploring the tradeoffs between programmability and efficiency in data-parallel accelerators
Exploring the tradeoffs between programmability and efficiency in data-parallel accelerators
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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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17
Understanding and optimizing asynchronous low-precision stochastic gradient descent
Understanding and optimizing asynchronous low-precision stochastic gradient descent
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Understanding and optimizing asynchronous low-precision stochastic gradient descent

De Sa, Christopher ; Feldman, Matthew ; Re, Christopher ; Olukotun, Kunle

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.561-574

ACM

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18
GOES-R ADVANCED BASELINE IMAGER PRECISE POINTING CONTROL AND IMAGE COLLECTION
GOES-R ADVANCED BASELINE IMAGER PRECISE POINTING CONTROL AND IMAGE COLLECTION
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GOES-R ADVANCED BASELINE IMAGER PRECISE POINTING CONTROL AND IMAGE COLLECTION

Igli, David A

Advances in the Astronautical Sciences, 2013, Vol.149, p.799-813

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19
MCM-GPU: Multi-chip-module GPUs for continued performance scalability
MCM-GPU: Multi-chip-module GPUs for continued performance scalability
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MCM-GPU: Multi-chip-module GPUs for continued performance scalability

Arunkumar, Akhil ; Bolotin, Evgeny ; Cho, Benjamin ; Milic, Ugljesa ; Ebrahimi, Eiman ; Villa, Oreste ; Jaleel, Aamer ; Wu, Carole-Jean ; Nellans, David

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.320-332

ACM

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20
SpinalFlow: An Architecture and Dataflow Tailored for Spiking Neural Networks
SpinalFlow: An Architecture and Dataflow Tailored for Spiking Neural Networks
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SpinalFlow: An Architecture and Dataflow Tailored for Spiking Neural Networks

Narayanan, Surya ; Taht, Karl ; Balasubramonian, Rajeev ; Giacomin, Edouard ; Gaillardon, Pierre-Emmanuel

2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA), 2020, p.349-362

IEEE

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