Stebėti
Gargi Alavani (Gargi Prabhu)
Gargi Alavani (Gargi Prabhu)
Visiting Assistant Professor, BITS Pilani K. K. Birla Goa Campus
Patvirtintas el. paštas goa.bits-pilani.ac.in - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Predicting execution time of CUDA kernel using static analysis
G Alavani, K Varma, S Sarkar
2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2018
212018
Performance modeling of graphics processing unit application using static and dynamic analysis
G Alavani, S Sarkar
Concurrency and Computation: Practice and Experience 34 (3), e6602, 2022
32022
An approach to estimate power consumption of a CUDA kernel
G Alavani, J Desai, S Sarkar
2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020
32020
Program Analysis and Machine Learning–based Approach to Predict Power Consumption of CUDA Kernel
G Alavani, J Desai, S Saha, S Sarkar
ACM Transactions on Modeling and Performance Evaluation of Computing Systems …, 2023
22023
Human face anthropometric measurements using consumer depth camera
GK Alavani, V Kamat
2015 Fifth National Conference on Computer Vision, Pattern Recognition …, 2015
22015
Prediction of performance and power consumption of GPGPU applications
G Alavani, S Sarkar
arXiv preprint arXiv:2305.01886, 2023
12023
Inspect-GPU: A software to evaluate performance characteristics of CUDA kernels using microbenchmarks and regression models
G Alavani, S Sarkar
International Conference on Software Technologies. SCITEPRESS, Rome-Italy, 2023
12023
GPPT: A Power Prediction Tool for CUDA Applications
G Alavani, J Desai, S Sarkar
2021 36th IEEE/ACM International Conference on Automated Software …, 2021
12021
How Easy it is to Write Software for Heterogeneous Systems?
S Sarkar, G Alavani
ACM SIGSOFT Software Engineering Notes 42 (4), 1-7, 2018
12018
Performance Modelling of GPU Application Using Static and Dynamic Analysis
G Alavani, S Sarkar
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Straipsniai 1–10