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Chang, Leland
108  results:
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1

14.1 A Software-Assisted Peak Current Regulation Scheme to ..:

, In: 2024 IEEE International Solid-State Circuits Conference (ISSCC),
Kar, Monodeep ; Silberman, Joel ; Venkataramani, Swagath... - p. 254-256 , 2024
Link: https://doi.org/10.1109/..
 
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2

A Switched-Capacitor Integer Compute Unit with Decoupled St..:

, In: 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits),
Agrawal, Ankur ; Kar, Monodeep ; Kim, Kyu-Hyoun... - p. 1-2 , 2023
Link: https://doi.org/10.23919..
 
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3

RaPiD : AI accelerator for ultra-low precision training ..:

, In: Proceedings of the 48th Annual International Symposium on Computer Architecture,
Venkataramani, Swagath ; Srinivasan, Vijayalakshmi ; Wang, Wei... - p. 153-166 , 2021
Link: https://dl.acm.org/doi/1..
 
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4

RaPiD: AI Accelerator for Ultra-low Precision Training and ..:

, In: 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA),
Venkataramani, Swagath ; Srinivasan, Vijayalakshmi ; Wang, Wei... - p. 153-166 , 2021
Link: https://doi.org/10.1109/..
 
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5

A 3.0 TFLOPS 0.62V Scalable Processor Core for High Compute..:

, In: 2020 IEEE Symposium on VLSI Circuits,
Oh, Jinwook ; Lee, Sae Kyu ; Kang, Mingu... - p. 1-2 , 2020
Link: https://doi.org/10.1109/..
 
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6

DeepTools: Compiler and Execution Runtime Extensions for Ra..:

Venkataramani, Swagath ; Choi, Jungwook ; Srinivasan, Vijayalakshmi...
IEEE Micro.  39 (2019)  5 - p. 102-111 , 2019
Link: https://doi.org/10.1109/..
 
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7

Memory and Interconnect Optimizations for Peta-Scale Deep L..:

, In: 2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC),
Venkataramani, Swagath ; Srinivasan, Vijayalakshmi ; Choi, Jungwook... - p. 225-234 , 2019
Link: https://doi.org/10.1109/..
 
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8

BiScaled-DNN : Quantizing Long-tailed Datastructures wit..:

, In: Proceedings of the 56th Annual Design Automation Conference 2019,
Jain, Shubham ; Venkataramani, Swagath ; Srinivasan, Vijayalakshmi... - p. 1-6 , 2019
Link: https://dl.acm.org/doi/1..
 
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9

Performance-driven Programming of Multi-TFLOP Deep Learning..:

, In: 2019 IEEE International Symposium on Workload Characterization (IISWC),
Venkataramani, Swagath ; Choi, Jungwook ; Srinivasan, Vijayalakshmi.. - p. 257-262 , 2019
Link: https://doi.org/10.1109/..
 
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10

Session 12 overview: DRAM: Memory subcommittee:

, In: 2018 IEEE International Solid-State Circuits Conference - (ISSCC),
Bae, Seung-Jun ; Spirkl, Wolfgang ; Chang, Leland - p. 202-203 , 2018
Link: https://doi.org/10.1109/..
 
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11

Session 30 overview: Emerging memories: Memory and technolo..:

, In: 2018 IEEE International Solid-State Circuits Conference - (ISSCC),
Shiratake, Shinichiro ; Charbon, Edoardo ; Chang, Leland. - p. 476-477 , 2018
Link: https://doi.org/10.1109/..
 
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12

Taming the beast : Programming Peta-FLOP class Deep Lear..:

, In: Proceedings of the International Symposium on Low Power Electronics and Design,
Venkataramani, Swagath ; Srinivasan, Vijayalakshmi ; Choi, Jungwook.. - p. 1 ff. , 2018
Link: https://dl.acm.org/doi/1..
 
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13

Across the Stack Opportunities for Deep Learning Accelerati..:

, In: Proceedings of the International Symposium on Low Power Electronics and Design,
Srinivasan, Vijayalakshmi ; Fleischer, Bruce ; Shukla, Sunil... - p. 1-2 , 2018
Link: https://dl.acm.org/doi/1..
 
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14

Compensated-DNN : energy efficient low-precision deep ne..:

, In: Proceedings of the 55th Annual Design Automation Conference,
Jain, Shubham ; Venkataramani, Swagath ; Srinivasan, Vijayalakshmi... - p. 1-6 , 2018
Link: https://dl.acm.org/doi/1..
 
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15

Session 31 overview: Computation in memory for machine lear..:

, In: 2018 IEEE International Solid-State Circuits Conference - (ISSCC),
Verma, Naveen ; Hamzaoglu, Fatih ; Nagata, Makoto. - p. 486-487 , 2018
Link: https://doi.org/10.1109/..
 
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