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Gargi Alavani Prabhu
Person information
- affiliation: BITS Pilani K. K. Birla Goa Campus, Centre for High Performance and Dependable Systems, Zuarinagar, India
- affiliation: Goa University, DCST, Taleigão, India
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2020 – today
- 2024
- [c8]Param Gandhi, Ishaan Thakkar, Mahatva Garg, Gargi Alavani Prabhu:
Hybrid Performance Prediction Model for Edge Devices. HIPCW 2024: 107-108 - [c7]Tanish Desai, Jainam Shah, Gargi Alavani Prabhu:
Keeping GPUs Cool: GPU Temperature Prediction Using LSTM. HIPCW 2024: 111-112 - [c6]Gargi Alavani Prabhu, Tanish Desai, Sharvil Potdar, Nayan Gogari, Snehanshu Saha, Santonu Sarkar:
Estimating Power Consumption of GPU Application Using Machine Learning Tool. ICTAI 2024: 734-739 - 2023
- [j3]Gargi Alavani
, Jineet Desai
Program Analysis and Machine Learning-based Approach to Predict Power Consumption of CUDA Kernel. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8(4): 10:1-10:24 (2023) - [c5]Gargi Alavani, Santonu Sarkar:
Inspect-GPU: A Software to Evaluate Performance Characteristics of CUDA Kernels Using Microbenchmarks and Regression Models. ICSOFT 2023: 59-70 - [i1]Gargi Alavani, Santonu Sarkar:
Prediction of Performance and Power Consumption of GPGPU Applications. CoRR abs/2305.01886 (2023) - 2022
- [j2]Gargi Alavani, Santonu Sarkar
Performance modeling of graphics processing unit application using static and dynamic analysis. Concurr. Comput. Pract. Exp. 34(3) (2022) - 2021
- [c4]Gargi Alavani, Jineet Desai, Santonu Sarkar:
GPPT: A Power Prediction Tool for CUDA Applications. ASE Workshops 2021: 247-250 - 2020
- [c3]Gargi Alavani
An Approach to Estimate Power Consumption of a CUDA Kernel. ISPA/BDCloud/SocialCom/SustainCom 2020: 984-991
2010 – 2019
- 2018
- [c2]Gargi Alavani
Predicting Execution Time of CUDA Kernel Using Static Analysis. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 948-955 - 2017
- [j1]Santonu Sarkar, Gargi Alavani
How Easy it is to Write Software for Heterogeneous Systems? ACM SIGSOFT Softw. Eng. Notes 42(4): 1-7 (2017) - 2015
- [c1]Gargi Kabirdas Alavani
Human face anthropometric measurements using consumer depth camera. NCVPRIPG 2015: 1-4
Coauthor Index
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