Gargi Alavani Prabhu

About

Gargi Alavani Prabhu holds a B.E. and M.Tech. from Goa University and earned her Ph.D. from BITS Pilani (K.K. Birla Goa Campus) under Prof. Santonu Sarkar and Prof. Neena Goveas. Her doctoral research focused on the prediction of performance and power consumption of GPGPU applications using static/dynamic analysis and machine learning. From [start date] to July 2025, she served as a Visiting Assistant Professor in the Department of Computer Science & Information Systems at BITS Pilani, Goa Campus. Her research interests include Visual Computing, High-performance Computing, and Machine Learning.

Employment

• BITS Pilani, Goa Campus Assistant Professor
  2023 - Present
• BITS Pilani K. K. Birla Goa Campus PhD. Scholar
  2016 - 2022

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• PowerQuant: Architecture-Agnostic GPU Power Estimation via Quantile Regression
  2026 DOI: 10.1145/3806645.3807591
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• Adaptive GPU Power Capping: Balancing Energy Efficiency,Thermal Control and Performance
  2025 DOI: 10.1145/3731545.3735119
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• Prediction of Performance and Power Consumption of GPGPU Applications
  Arxiv 2023 DOI: 10.48550/arXiv.2305.01886
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• Program Analysis and Machine Learning-based Approach to Predict Power Consumption of CUDA Kernel
  ACM Transactions on Modeling and Performance Evaluation of Computing Systems 2023 DOI: 10.1145/3603533
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• Performance modeling of graphics processing unit application using static and dynamic analysis
  Concurrency and Computation Practice and Experience 2022 DOI: 10.1002/cpe.6602
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• GPPT: A Power Prediction Tool for CUDA Applications
  Proceedings 2021 36th IEEE ACM International Conference on Automated Software Engineering Workshops Asew 2021 2021 DOI: 10.1109/ASEW52652.2021.00054
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• An Approach to Estimate Power Consumption of a CUDA Kernel
  2020 IEEE Intl Conf on Parallel Distributed Processing with Applications, Big Data Cloud Computing, Sustainable Computing Communications, Social Computing Networking (ISPA/BDCloud/SocialCom/SustainCom) 2020 DOI: 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00149
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• How Easy It is to Write Software for Heterogeneous Systems?
  SIGSOFT Softw. Eng. Notes 2018 DOI: 10.1145/3149485.3149511
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• Predicting Execution Time of CUDA Kernel Using Static Analysis
  2018 IEEE Intl Conf on Parallel Distributed Processing with Applications, Ubiquitous Computing Communications, Big Data Cloud Computing, Social Computing Networking, Sustainable Computing Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom) 2018 DOI: 10.1109/BDCloud.2018.00139
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• Human face anthropometric measurements using consumer depth camera
  2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) 2015 DOI: 10.1109/NCVPRIPG.2015.7490001
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