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Venkataramani, Swagath
70  Ergebnisse:
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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

Approximate Computing and the Efficient Machine Learning Ex..:

, In: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design,
Henkel, Jörg ; Li, Hai ; Raghunathan, Anand... - p. 1-9 , 2022
Link: https://dl.acm.org/doi/1..
 
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3

Accelerating DNN Training Through Selective Localized Learn..:

Krithivasan, Sarada ; Sen, Sanchari ; Venkataramani, Swagath.
Frontiers in Neuroscience.  15 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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4

A 7-nm Four-Core Mixed-Precision AI Chip With 26.2-TFLOPS H..:

Lee, Sae Kyu ; Agrawal, Ankur ; Silberman, Joel...
IEEE Journal of Solid-State Circuits.  57 (2022)  1 - p. 182-197 , 2022
Link: https://doi.org/10.1109/..
 
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5

OnSRAM: Efficient Inter-Node On-Chip Scratchpad Management ..:

Pal, Subhankar ; Venkataramani, Swagath ; Srinivasan, Viji.
ACM Transactions on Embedded Computing Systems.  21 (2022)  6 - p. 1-29 , 2022
Link: https://doi.org/10.1145/..
 
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6

Efficacy of pruning in ultra-low precision DNNs:

, In: Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design,
Sen, Sanchari ; Venkataramani, Swagath ; Raghunathan, Anand - p. 1-6 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

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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8

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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9

DyVEDeep : Dynamic Variable Effort Deep Neural Networks:

Ganapathy, Sanjay ; Venkataramani, Swagath ; Sriraman, Giridhur..
ACM Transactions on Embedded Computing Systems (TECS).  19 (2020)  3 - p. 1-24 , 2020
Link: https://dl.acm.org/doi/1..
 
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10

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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11

DyVEDeep: Dynamic Variable Effort Deep Neural Networks:

Ganapathy, Sanjay ; Venkataramani, Swagath ; Sriraman, Giridhur..
ACM Transactions on Embedded Computing Systems.  19 (2020)  3 - p. 1-24 , 2020
Link: https://doi.org/10.1145/..
 
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12

SparCE: Sparsity Aware General-Purpose Core Extensions to A..:

Sen, Sanchari ; Jain, Shubham ; Venkataramani, Swagath.
IEEE Transactions on Computers.  68 (2019)  6 - p. 912-925 , 2019
Link: https://doi.org/10.1109/..
 
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13

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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14

A Compiler for Deep Neural Network Accelerators to Generate..:

, In: 2019 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS),
Ogawa, Eri ; Ishizaki, Kazuaki ; Inoue, Hiroshi... - p. 1-3 , 2019
Link: https://doi.org/10.1109/..
 
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15

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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