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ORCIDGayathri Ananthanarayanan
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Journal Articles
- 2024
[j6]Omais Shafi
, Mohammad Khalid Pandit, Amarjeet Saini, Gayathri Ananthanarayanan, Rijurekha Sen:
Repercussions of Using DNN Compilers on Edge GPUs for Real Time and Safety Critical Systems: A Quantitative Audit. ACM J. Emerg. Technol. Comput. Syst. 20(1): 4:1-4:25 (2024)- 2020
- [j5]Siqi Wang, Gayathri Ananthanarayanan, Yifan Zeng, Neeraj Goel, Anuj Pathania, Tulika Mitra:
High-Throughput CNN Inference on Embedded ARM Big.LITTLE Multicore Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2254-2267 (2020) - 2019
- [j4]Siqi Wang, Gayathri Ananthanarayanan, Tulika Mitra:
OPTiC: Optimizing Collaborative CPU-GPU Computing on Mobile Devices With Thermal Constraints. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(3): 393-406 (2019) - 2018
- [j3]Gayathri Ananthanarayanan, Smruti R. Sarangi, M. Balakrishnan:
Task Assignment Algorithms for Multicore Platforms with Process Variations. J. Low Power Electron. 14(2): 302-317 (2018) - 2014
- [j2]Hameedah Sultan, Gayathri Ananthanarayanan, Smruti R. Sarangi:
Processor power estimation techniques: a survey. Int. J. High Perform. Syst. Archit. 5(2): 93-114 (2014) - 2013
- [j1]Gayathri Ananthanarayanan, Geetika Malhotra, M. Balakrishnan, Smruti R. Sarangi:
Amdahl's law in the era of process variation. Int. J. High Perform. Syst. Archit. 4(4): 218-230 (2013)
Conference and Workshop Papers
- 2023
- [c6]Amarjeet Saini, Omkar B. Shende, Mohammad Khalid Pandit, Rijurekha Sen, Gayathri Ananthanarayanan:
Bang for the Buck: Evaluating the Cost-Effectiveness of Heterogeneous Edge Platforms for Neural Network Workloads. SEC 2023: 94-107 - [c5]Pavanitha Manche, Sahaja Nandyala, Jagabandhu Mishra, Gayathri Ananthanarayanan, S. R. Mahadeva Prasanna:
Design and Development of Voice OTP Authentication System. SPECOM (2) 2023: 513-528 - 2022
- [c4]Omais Shafi, Sachin Kumar Chauhan, Gayathri Ananthanarayanan, Rijurekha Sen:
DynCNN: Application Dynamism and Ambient Temperature Aware Neural Network Scheduler in Edge Devices for Traffic Control. COMPASS 2022: 513-528 - 2021
- [c3]Omais Shafi, Chinmay Rai, Rijurekha Sen, Gayathri Ananthanarayanan:
Demystifying TensorRT: Characterizing Neural Network Inference Engine on Nvidia Edge Devices. IISWC 2021: 226-237 - 2016
- [c2]Gayathri Ananthanarayanan, Smruti R. Sarangi, M. Balakrishnan:
Leakage Power Aware Task Assignment Algorithms for Multicore Platforms. ISVLSI 2016: 607-612 - 2014
- [c1]Smruti R. Sarangi, Gayathri Ananthanarayanan, M. Balakrishnan:
LightSim: A leakage aware ultrafast temperature simulator. ASP-DAC 2014: 855-860
Informal and Other Publications
- 2019
- [i1]Siqi Wang, Gayathri Ananthanarayanan, Yifan Zeng, Neeraj Goel, Anuj Pathania, Tulika Mitra:
High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors. CoRR abs/1903.05898 (2019)
Coauthor Index
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