Rakesh M. B.

According to our database, Rakesh M. B. authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

GRILAPE: Graph Representation Inductive Learning-based Average Power Estimation for Frontend ASIC RTL Designs.

Rakesh M. B., Pabitra Das, Sai Pranav K. R, Amit Acharyya

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.

Rakesh M. B., Pabitra Das, Anant Terkar, Amit Acharyya

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.

Chandrasekhara Srinivas Vatti, Rakesh M. B., Raviteja P. Reddy, Amit Acharyya

IEEE Trans. Circuits Syst. II Express Briefs, 2022

GLAAPE: Graph Learning Assisted Average Power Estimation for Gate-level Combinational Designs.

Rakesh M. B., Sai Pranav K. R, Pabitra Das, Amit Acharyya

Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022