Rakesh M. B.
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
Inductive GNN-Based Methodology for Accurate and Fast Average Power Estimation of Synthesized ASIC Designs From RTL Simulation Bypassing Gate-Level Simulation.
IEEE Trans. Circuits Syst. I Regul. Pap., June, 2025
2024
ANN-based Accurate and Fast Post-Route QoR Data Prediction Methodology from Pre-Clock Tree Synthesis by Skipping CTS and Routing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
2023
GRILAPE: Graph Representation Inductive Learning-based Average Power Estimation for Frontend ASIC RTL Designs.
Proceedings of the 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems, 2023
GRASPE: Accurate Post-Synthesis Power Estimation from RTL using Graph Representation Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
2022
A Hierarchical Fault-Tolerant and Cost Effective Framework for RRAM Based Neural Computing Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
GLAAPE: Graph Learning Assisted Average Power Estimation for Gate-level Combinational Designs.
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022