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Vijayalakshmi, Srinivasan
118  results:
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1

Hidden Problem of COVID-19: Behavioral Surveillance and Its..:

Ramkumar, Sundaram ; Vijayalakshmi, Srinivasan ; Rizvana, Shagirunisha...
Cureus.  , 2023
Link: https://doi.org/10.7759/..
 
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2

DNNDaSher: A Compiler Framework for Dataflow Compatible End..:

Sen, Sanchari ; Jain, Shubham ; Krithivasan, Sarada..
IEEE Micro.  , 2024
Link: https://doi.org/10.1109/..
 
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3

Prevalence of ABO and Rhesus (D) Blood Group and Allelic Fr..:

Lendabo, Fekadu ; Srinivasan, Vijayalakshmi ; Rather, Riyaz Ahmad.
BioMed Research International.  2024 (2024)  - p. 1-8 , 2024
Link: https://doi.org/10.1155/..
 
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4

Comparing the effects of feto-placental vascular branching ..:

Srinivasan, Vijayalakshmi ; Jackson, Toby ; Tongpob, Yutthapong...
Placenta.  140 (2023)  - p. e31-e32 , 2023
Link: https://doi.org/10.1016/..
 
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5

Risk Assessment of Osteoarthritis Among Geriatric Populatio..:

Sundaram, Ramkumar ; Srinivasan, Vijayalakshmi ; Rizvana, Shagirunisha...
Cureus.  , 2023
Link: https://doi.org/10.7759/..
 
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6

Multiscale and multimodal imaging of utero-placental anatom..:

Srinivasan, Vijayalakshmi ; Melbourne, Andrew ; Oyston, Charlotte..
Placenta.  112 (2021)  - p. 111-122 , 2021
Link: https://doi.org/10.1016/..
 
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7

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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8

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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9

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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10

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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11

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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12

Liposomes for Nanodelivery Systems in Food Products:

, In: Nanoscience for Sustainable Agriculture,
Srinivasan, Vijayalakshmi ; Chavan, Sachin ; Jain, Utkarsh. - p. 627-638 , 2019
Link: https://doi.org/10.1007/..
 
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13

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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14

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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15

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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