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)

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 (ISLPED, 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 (ISLPED, 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)

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 (DATE, 2024)

Heterogeneous Manycore In-Memory Computing Architectures. - Chukwufumnanya Ogbogu; Gaurav Narang; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande (ICCAD, 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 (ITC, 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)

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)

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., 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., 2024)

DEAR: Dependable 3D Architecture for Robust DNN Training. - Ashish Reddy Bommana; Farshad Firouzi; Chukwufumnanya Ogbogu; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (DATE, 2025)