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Stream-dataflow acceleration
Stream-dataflow acceleration
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

Stream-dataflow acceleration

Nowatzki, Tony ; Gangadhar, Vinay ; Ardalani, Newsha ; Sankaralingam, Karthikeyan

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.416-429

ACM

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2
SCNN: An accelerator for compressed-sparse convolutional neural networks
SCNN: An accelerator for compressed-sparse convolutional neural networks
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

SCNN: An accelerator for compressed-sparse convolutional neural networks

Parashar, Angshuman ; Minsoo Rhu ; Mukkara, Anurag ; Puglielli, Antonio ; Venkatesan, Rangharajan ; Khailany, Brucek ; Emer, Joel ; Keckler, Stephen W. ; Dally, William J.

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.27-40

ACM

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3
Scheduling techniques for GPU architectures with processing-in-memory capabilities
Scheduling techniques for GPU architectures with processing-in-memory capabilities
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Ata de Congresso 		Adicionar ao Meu Espaço

Scheduling techniques for GPU architectures with processing-in-memory capabilities

Pattnaik, Ashutosh ; Xulong Tang ; Adwait Jog ; Kayiran, Onur ; Mishra, Asit K. ; Kandemir, Mahmut T. ; Mutlu, Onur ; Das, Chita R.

2016 International Conference on Parallel Architecture and Compilation Techniques (PACT), 2016, p.31-44

ACM

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4
Exploring Instruction Fusion Opportunities in General Purpose Processors
Exploring Instruction Fusion Opportunities in General Purpose Processors
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Exploring Instruction Fusion Opportunities in General Purpose Processors

Singh, Sawan ; Perais, Arthur ; Jimborean, Alexandra ; Ros, Alberto

2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022, p.199-212

IEEE

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5
Pipelining a triggered processing element
Pipelining a triggered processing element
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

Pipelining a triggered processing element

Repetti, Thomas ; Cerqueira, João ; Kim, Martha ; Seok, Mingoo

2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2017, p.96-108

ACM

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6
An architecture interface and offload model for low-overhead, near-data, distributed accelerators
An architecture interface and offload model for low-overhead, near-data, distributed accelerators
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An architecture interface and offload model for low-overhead, near-data, distributed accelerators

Baskaran, Saambhavi ; Kandemir, Mahmut Taylan ; Sampson, Jack

2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022, p.1160-1177

IEEE

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7
SCALEDEEP: A scalable compute architecture for learning and evaluating deep networks
SCALEDEEP: A scalable compute architecture for learning and evaluating deep networks
Material Type:
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SCALEDEEP: A scalable compute architecture for learning and evaluating deep networks

Venkataramani, Swagath ; Ranjan, Ashish ; Banerjee, Subarno ; Das, Dipankar ; Avancha, Sasikanth ; Jagannathan, Ashok ; Durg, Ajaya ; Nagaraj, Dheemanth ; Kaul, Bharat ; Dubey, Pradeep ; Raghunathan, Anand

2017 ACM/IEEE 44th Annual International Symposium on Computer Architecture (ISCA), 2017, p.13-26

ACM

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8
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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9
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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10
Maximizing CNN accelerator efficiency through resource partitioning
Maximizing CNN accelerator efficiency through resource partitioning
Material Type:
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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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