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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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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
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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
Optimal Layout Synthesis for Quantum Computing
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Optimal Layout Synthesis for Quantum Computing

Tan, Bochen ; Cong, Jason

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

Association on Computer Machinery

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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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6
DRISA: a DRAM-based Reconfigurable In-Situ Accelerator
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DRISA: a DRAM-based Reconfigurable In-Situ Accelerator

Li, Shuangchen ; Niu, Dimin ; Malladi, Krishna T. ; Zheng, Hongzhong ; Brennan, Bob ; Xie, Yuan

2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2017, p.288-301

New York, NY, USA: ACM

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7
Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic
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Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic

Ghodrati, Soroush ; Sharma, Hardik ; Kinzer, Sean ; Yazdanbakhsh, Amir ; Park, Jongse ; Kim, Nam Sung ; Burger, Doug ; Esmaeilzadeh, Hadi

Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques, 2020, p.399-411

New York, NY, USA: ACM

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8
A cloud-scale acceleration architecture
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A cloud-scale acceleration architecture

Caulfield, Adrian M. ; Chung, Eric S. ; Putnam, Andrew ; Angepat, Hari ; Fowers, Jeremy ; Haselman, Michael ; Heil, Stephen ; Humphrey, Matt ; Kaur, Puneet ; Joo-Young Kim ; Lo, Daniel ; Massengill, Todd ; Ovtcharov, Kalin ; Papamichael, Michael ; Woods, Lisa ; Lanka, Sitaram ; Chiou, Derek ; Burger, Doug

2016 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2016, p.1-13

IEEE

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9
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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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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