Refereed Journal Publications and Conference Proceedings


 [COMPASS' 22] 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

[IISWC' 21] Omais Shafi, Chinmay Rai, Rijurekha Sen, Gayathri Ananthanarayanan: Demystifying TensorRT: Characterizing Neural Network Inference Engine on Nvidia Edge Devices. IISWC 2021: 226-237

 [TCAD' 20] 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)

 [TCAD' 19]  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)

 , , : Task Assignment Algorithms for Multicore Platforms with Process Variations. J. Low Power Electronics 14(2), 2018:

[ISVLSI'16] Gayathri Ananthanarayanan, Smruti R. Sarangi, and M.Balakrishnan “ Leakage Power Aware Task Assignment Algorithms for Multicore Platforms” IEEE Computer Society Annual Symposium on VLSI, Pittsburgh, USA 2016.

[ASP-DAC'14] Smruti R. Sarangi, Gayathri Ananthanarayanan, and M. Balakrishnan LightSim : A Leakage Aware Ultrafast Temperature Simulator.” Asia and South Pacific Design Automation Conference, Singapore, 2014.

[IJHPSA'14]   Hameedah Sultan, Gayathri Ananthanarayanan, and Smruti R. Sarangi “ Processor Power Estimation Techniques: A Survey.” International Journal of High Performance Systems Architecture. Vol 5 Issue 2, 2014, Pages 93-114

 [IJHPSA'13]  Gayathri Ananthanarayanan, Geetika Malhotra, M. Balakrishnan, Smruti R. Sarangi “Amdahl’s law in the era of process variation.” International Journal of High Performance Systems Architecture. Vol 4, Issue 4, 2013, Pages 218-230.
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