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Venkatesan, Rangharajan
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1

Vision Transformer Computation and Resilience for Dynamic I..:

, In: 2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS),
Sreedhar, Kavya ; Clemons, Jason ; Venkatesan, Rangharajan.. - p. 192-204 , 2024
Link: https://doi.org/10.1109/..
 
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2

A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-..:

Keller, Ben ; Venkatesan, Rangharajan ; Dai, Steve...
IEEE Journal of Solid-State Circuits.  58 (2023)  4 - p. 1129-1141 , 2023
Link: https://doi.org/10.1109/..
 
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3

Efficient Transformer Inference with Statically Structured ..:

, In: 2023 60th ACM/IEEE Design Automation Conference (DAC),
Dai, Steve ; Genc, Hasan ; Venkatesan, Rangharajan. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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4

A 17–95.6 TOPS/W Deep Learning Inference Accelerator with P..:

, In: 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits),
Keller, Ben ; Venkatesan, Rangharajan ; Dai, Steve... - p. 16-17 , 2022
Link: https://doi.org/10.1109/..
 
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5

LNS-Madam: Low-Precision Training in Logarithmic Number Sys..:

Zhao, Jiawei ; Dai, Steve ; Venkatesan, Rangharajan...
IEEE Transactions on Computers.  71 (2022)  12 - p. 3179-3190 , 2022
Link: https://doi.org/10.1109/..
 
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6

Simba : scaling deep-learning inference with chiplet-bas..:

Shao, Yakun Sophia ; Cemons, Jason ; Venkatesan, Rangharajan...
Communications of the ACM.  64 (2021)  6 - p. 107-116 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

Session 3 Overview: Highlighted Chip Releases: Modern Digit..:

, In: 2021 IEEE International Solid-State Circuits Conference (ISSCC),
Burd, Thomas ; Venkatesan, Rangharajan ; Sylvester, Dennis - p. 44-45 , 2021
Link: https://doi.org/10.1109/..
 
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8

Simba: scaling deep-learning inference with chiplet-based a..:

Shao, Yakun Sophia ; Cemons, Jason ; Venkatesan, Rangharajan...
Communications of the ACM.  64 (2021)  6 - p. 107-116 , 2021
Link: https://doi.org/10.1145/..
 
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9

Accelerating Chip Design With Machine Learning:

Khailany, Brucek ; Ren, Haoxing ; Dai, Steve...
IEEE Micro.  40 (2020)  6 - p. 23-32 , 2020
Link: https://doi.org/10.1109/..
 
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10

Simba : Scaling Deep-Learning Inference with Multi-Chip-..:

, In: Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture,
Shao, Yakun Sophia ; Clemons, Jason ; Venkatesan, Rangharajan... - p. 14-27 , 2019
Link: https://dl.acm.org/doi/1..
 
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11

A 0.11 PJ/OP, 0.32-128 Tops, Scalable Multi-Chip-Module-Bas..:

, In: 2019 IEEE Hot Chips 31 Symposium (HCS),
Venkatesan, Rangharajan ; Raina, Priyanka ; Tell, Stephen G.... - p. 1-24 , 2019
Link: https://doi.org/10.1109/..
 
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12

Analog/Mixed-Signal Hardware Error Modeling for Deep Learni..:

, In: Proceedings of the 56th Annual Design Automation Conference 2019,
Rekhi, Angad S. ; Zimmer, Brian ; Nedovic, Nikola... - p. 1-6 , 2019
Link: https://dl.acm.org/doi/1..
 
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13

MAGNet: A Modular Accelerator Generator for Neural Networks:

, In: 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD),
Venkatesan, Rangharajan ; Raina, Priyanka ; Zhang, Yanqing... - p. 1-8 , 2019
Link: https://doi.org/10.1109/..
 
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14

Buffets : An Efficient and Composable Storage Idiom for ..:

, In: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems,
Pellauer, Michael ; Shao, Yakun Sophia ; Clemons, Jason... - p. 137-151 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

A modular digital VLSI flow for high-productivity SoC desig:

, In: Proceedings of the 55th Annual Design Automation Conference,
Khailany, Brucek ; Khmer, Evgeni ; Venkatesan, Rangharajan... - p. 1-6 , 2018
Link: https://dl.acm.org/doi/1..
 
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