Chukwufumnanya Ogbogu

According to our database, Chukwufumnanya Ogbogu authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

HuNT: Exploiting Heterogeneous PIM Devices to Design a 3-D Manycore Architecture for DNN Training.

Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

TEFLON: Thermally Efficient Dataflow-aware 3D NoC for Accelerating CNN Inferencing on Manycore PIM Architectures.

Gaurav Narang, Chukwufumnanya Ogbogu, Janardhan Rao Doppa, Partha Pratim Pande

ACM Trans. Embed. Comput. Syst., September, 2024

Data Pruning-enabled High Performance and Reliable Graph Neural Network Training on ReRAM-based Processing-in-Memory Accelerators.

Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Krishnendu Chakrabarty, Jana Doppa, Partha Pratim Pande

ACM Trans. Design Autom. Electr. Syst., 2024

Scalable and Programmable Look-Up Table based Neural Acceleration (LUT-NA) for Extreme Energy Efficiency.

Ovishake Sen, Chukwufumnanya Ogbogu, Peyman Dehghanzadeh, Janardhan Rao Doppa, Swarup Bhunia, Partha Pratim Pande, Baibhab Chatterjee

CoRR, 2024

SEC-CiM: Selective Error Compensation for ReRAM-based Compute-in-Memory^*.

Ashish Reddy Bommana, Farshad Firouzi, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty

Proceedings of the IEEE International Test Conference, 2024

FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators.

Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning.

Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Lukas Pfromm, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC.

Chukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Energy-Efficient Machine Learning Acceleration: From Technologies to Circuits and Systems.

Chukwufumnanya Ogbogu, Madeleine Abernot, Corentin Delacour, Aida Todri-Sanial, Sudeep Pasricha, Partha Pratim Pande

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

2022

Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet.

Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty, Partha Pratim Pande

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022