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 | 21 | 2018 |
Program analysis and machine learningbased 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 | 7 | 2023 |
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 | 4 | 2022 |
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 | 3 | 2020 |
Prediction of performance and power consumption of GPGPU applications G Alavani, S Sarkar arXiv preprint arXiv:2305.01886, 2023 | 2 | 2023 |
Inspect-GPU: A Software to Evaluate Performance Characteristics of CUDA Kernels Using Microbenchmarks and Regression Models. G Alavani, S Sarkar ICSOFT, 59-70, 2023 | 2 | 2023 |
GPPT: A Power Prediction Tool for CUDA Applications G Alavani, J Desai, S Sarkar 2021 36th IEEE/ACM International Conference on Automated Software
, 2021 | 2 | 2021 |
Human face anthropometric measurements using consumer depth camera GK Alavani, V Kamat 2015 Fifth National Conference on Computer Vision, Pattern Recognition
, 2015 | 2 | 2015 |
How Easy it is to Write Software for Heterogeneous Systems? S Sarkar, G Alavani ACM SIGSOFT Software Engineering Notes 42 (4), 1-7, 2018 | 1 | 2018 |
Performance Modelling of GPU Application Using Static and Dynamic Analysis G Alavani, S Sarkar | | |