3D NoC-Enabled Heterogeneous Manycore Architectures for Accelerating CNN Training: Performance and Thermal Trade-offs. - Biresh Kumar Joardar; Wonje Choi 001; Ryan Gary Kim; Janardhan Rao Doppa; Partha Pratim Pande; Diana Marculescu; Radu Marculescu (NOCS, 2017)

High performance collective communication-aware 3D Network-on-Chip architectures. - Biresh Kumar Joardar; Karthi Duraisamy; Partha Pratim Pande (DATE, 2018)

Hybrid on-chip communication architectures for heterogeneous manycore systems. - Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Diana Marculescu; Radu Marculescu (ICCAD, 2018)

Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. - Paul Bogdan; Fan Chen 001; Aryan Deshwal; Janardhan Rao Doppa; Biresh Kumar Joardar; Hai (Helen) Li; Shahin Nazarian; Linghao Song; Yao Xiao (CODES+ISSS, 2019)

Design and Optimization of Heterogeneous Manycore Systems Enabled by Emerging Interconnect Technologies: Promises and Challenges. - Biresh Kumar Joardar; Ryan Gary Kim; Janardhan Rao Doppa; Partha Pratim Pande (DATE, 2019)

REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs. - Biresh Kumar Joardar; Bing Li 017; Janardhan Rao Doppa; Hai Li 001; Partha Pratim Pande; Krishnendu Chakrabarty (DATE, 2019)

NoC-enabled software/hardware co-design framework for accelerating k-mer counting. - Biresh Kumar Joardar; Priyanka Ghosh; Partha Pratim Pande; Ananth Kalyanaraman; Sriram Krishnamoorthy (NOCS, 2019)

Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. - Biresh Kumar Joardar; Ryan Gary Kim; Janardhan Rao Doppa; Partha Pratim Pande; Diana Marculescu; Radu Marculescu (IEEE Trans. Computers, 2019)

MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems. - Aryan Deshwal; Nitthilan Kannappan Jayakodi; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande (ACM Trans. Embed. Comput. Syst., 2019)

GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation. - Biresh Kumar Joardar; Nitthilan Kannappan Jayakodi; Janardhan Rao Doppa; Hai Li 001; Partha Pratim Pande; Krishnendu Chakrabarty (DATE, 2020)

ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. - Aqeeb Iqbal Arka; Janardhan Rao Doppa; Partha Pratim Pande; Biresh Kumar Joardar; Krishnendu Chakrabarty (DATE, 2021)

3D++: Unlocking the Next Generation of High-Performance and Energy-Efficient Architectures using M3D Integration. - Biresh Kumar Joardar; Aqeeb Iqbal Arka; Janardhan Rao Doppa; Partha Pratim Pande (DATE, 2021)

DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks. - Aqeeb Iqbal Arka; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (ICCAD, 2021)

Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper). - Biresh Kumar Joardar; Aqeeb Iqbal Arka; Janardhan Rao Doppa; Partha Pratim Pande; Hai Li 001; Krishnendu Chakrabarty (ICCAD, 2021)

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. - Xiaoxuan Yang 001; Syrine Belakaria; Biresh Kumar Joardar; Huanrui Yang; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty; Hai Helen Li (ICCAD, 2021)

ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs. - Biresh Kumar Joardar; Janardhan Rao Doppa; Hai Li 001; Krishnendu Chakrabarty; Partha Pratim Pande (CoRR, 2021)

AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture. - Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Hai Li 001; Krishnendu Chakrabarty (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators. - Biresh Kumar Joardar; Janardhan Rao Doppa; Hai Li 001; Krishnendu Chakrabarty; Partha Pratim Pande (ACM Trans. Embed. Comput. Syst., 2021)

HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. - Aqeeb Iqbal Arka; Biresh Kumar Joardar; Ryan Gary Kim; Dae Hyun Kim 004; Janardhan Rao Doppa; Partha Pratim Pande (ACM Trans. Design Autom. Electr. Syst., 2021)

Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures. - Aqeeb Iqbal Arka; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Learning to Mitigate Rowhammer Attacks. - Biresh Kumar Joardar; Tyler K. Bletsch; Krishnendu Chakrabarty (DATE, 2022)

Fault-Tolerant Deep Learning Using Regularization. - Biresh Kumar Joardar; Aqeeb Iqbal Arka; Janardhan Rao Doppa; Partha Pratim Pande (ICCAD, 2022)

NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications. - Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (ISQED, 2022)

High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers. - Biresh Kumar Joardar; Aryan Deshwal; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

Attacking ReRAM-based Architectures using Repeated Writes. - Biresh Kumar Joardar; Krishnendu Chakrabarty (DATE, 2023)

Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. - Chung-Hsuan Tung; Biresh Kumar Joardar; Partha Pratim Pande; Janardhan Rao Doppa; Hai Helen Li; Krishnendu Chakrabarty (DATE, 2023)

Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write Errors. - Ching-Yuan Chen; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (ETS, 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)

Simply-Track-and-Refresh: Efficient and Scalable Rowhammer Mitigation. - Eduardo Ortega; Tyler K. Bletsch; Biresh Kumar Joardar; Jonti Talukdar; Woohyun Paik; Krishnendu Chakrabarty (ITC, 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)

ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs. - Biresh Kumar Joardar; Janardhan Rao Doppa; Hai (Helen) Li; Krishnendu Chakrabarty; Partha Pratim Pande (IEEE Trans. Emerg. Top. Comput., 2023)

Machine Learning-Based Rowhammer Mitigation. - Biresh Kumar Joardar; Tyler K. Bletsch; Krishnendu Chakrabarty (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)

Introduction to the Special Issue on Embedded System Software/Tools. - Ganapati Bhat; Biresh Kumar Joardar; Mengying Zhao (ACM Trans. Design Autom. Electr. Syst., 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)

Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial Attacks. - Ching-Yuan Chen; Biresh Kumar Joardar; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

HALO: Communication-Aware Heterogeneous 2.5-D System for Energy-Efficient LLM Execution at Edge. - Abhi Jaiswal; K. C. Sharin Shahana; Sujitha Ravichandran; K. Adarsh; H. Bharath Bhat; Biresh Kumar Joardar; Sumit K. Mandal (IEEE J. Emerg. Sel. Topics Circuits 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)

Acceleration of Large Language Models with Emerging Compute and Communication Technology. - K. C. Sharin Shahana; Sumit K. Mandal; Biresh Kumar Joardar (COINS, 2025)

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)

Aging Attack on Systolic Array-Based AI Accelerators via NBTI-Induced Aging. - Masoud Heidary; Biresh Kumar Joardar (ISQED, 2025)

Localization of Data Compromised by Hardware Attacks in Machine Learning Enabled Cyber-Physical Edge Devices. - Pravineeth Edara; Sanmitra Banerjee; Biresh Kumar Joardar (ACM Trans. Cyber Phys. Syst., 2025)