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Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture
Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

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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2
DaDianNao: A Machine-Learning Supercomputer
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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A dynamically configurable coprocessor for convolutional neural networks
A dynamically configurable coprocessor for convolutional neural networks
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A dynamically configurable coprocessor for convolutional neural networks

Chakradhar, Srimat ; Sankaradas, Murugan ; Jakkula, Venkata ; Cadambi, Srihari

Proceedings of the 37th annual international symposium on Computer architecture, 2010, p.247-257

New York, NY, USA: ACM

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4
SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks
SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks
Material Type:
Ata de Congresso 		Adicionar ao Meu Espaço

SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks

Gondimalla, Ashish ; Chesnut, Noah ; Thottethodi, Mithuna ; Vijaykumar, T. N.

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019, p.151-165

New York, NY, USA: ACM

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5
Introduction to the Special Issue on Next-Generation On-Chip and Off-Chip Communication Architectures for Edge, Cloud and HPC
Introduction to the Special Issue on Next-Generation On-Chip and Off-Chip Communication Architectures for Edge, Cloud and HPC
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Artigo 		Adicionar ao Meu Espaço

Introduction to the Special Issue on Next-Generation On-Chip and Off-Chip Communication Architectures for Edge, Cloud and HPC

Kim, John ; Krishna, Tushar

ACM journal on emerging technologies in computing systems, 2023-11, Vol.19 (4), p.1-1, Article 31 [Periódico revisado por pares]

New York, NY: ACM

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6
Large-scale Simulations of Peridynamics on Sunway Taihulight Supercomputer
Large-scale Simulations of Peridynamics on Sunway Taihulight Supercomputer
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Large-scale Simulations of Peridynamics on Sunway Taihulight Supercomputer

Li, Xinyuan ; Ye, Huang ; Zhang, Jian

Proceedings of the 49th International Conference on Parallel Processing, 2020, p.1-11

New York, NY, USA: ACM

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7
SNrram: an efficient sparse neural network computation architecture based on resistive random-access memory
SNrram: an efficient sparse neural network computation architecture based on resistive random-access memory
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SNrram: an efficient sparse neural network computation architecture based on resistive random-access memory

Wang, Peiqi ; Ji, Yu ; Hong, Chi ; Lyu, Yongqiang ; Wang, Dongsheng ; Xie, Yuan

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

New York, NY, USA: ACM

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8
Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms
Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms
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Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms

Dadu, Vidushi ; Weng, Jian ; Liu, Sihao ; Nowatzki, Tony

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019, p.924-939

New York, NY, USA: ACM

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9
Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs
Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs
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Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs

Fang, Haowen ; Mei, Zaidao ; Shrestha, Amar ; Zhao, Ziyi ; Li, Yilan ; Qiu, Qinru

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

Association on Computer Machinery

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10
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM
EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM
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EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM

Koppula, Skanda ; Orosa, Lois ; Yağlıkçı, A. Giray ; Azizi, Roknoddin ; Shahroodi, Taha ; Kanellopoulos, Konstantinos ; Mutlu, Onur

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019, p.166-181

New York, NY, USA: ACM

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