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ORCIDBiresh Kumar Joardar
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2020 – today
- 2024
[j14]Abhi Jaiswal, K. C. Sharin Shahana
, Sujitha Ravichandran, K. Adarsh, H. Bharath Bhat, Biresh Kumar Joardar, Sumit K. Mandal:
HALO: Communication-Aware Heterogeneous 2.5-D System for Energy-Efficient LLM Execution at Edge. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(3): 425-439 (2024)- [j13]Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Mitigating Slow-to-Write Errors in Memristor-Mapped Graph Neural Networks Induced by Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(8): 2411-2425 (2024) - [j12]Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande:
HuNT: Exploiting Heterogeneous PIM Devices to Design a 3-D Manycore Architecture for DNN Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 3300-3311 (2024) - [c22]Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande:
FARe: Fault-Aware GNN Training on ReRAM-Based PIM Accelerators. DATE 2024: 1-6 - [i6]Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar, Janardhan Rao Doppa, Ananth Kalyanaraman, Partha Pratim Pande:
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators. CoRR abs/2401.10522 (2024) - 2023
- [j11]Biresh Kumar Joardar, Tyler K. Bletsch, Krishnendu Chakrabarty:
Machine Learning-Based Rowhammer Mitigation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(5): 1393-1405 (2023) - [j10]Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Lukas Pfromm, Biresh Kumar Joardar, Janardhan Rao Doppa, Krishnendu Chakrabarty, Partha Pratim Pande:
Accelerating Graph Neural Network Training on ReRAM-Based PIM Architectures via Graph and Model Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2703-2716 (2023) - [j9]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai (Helen) Li, Krishnendu Chakrabarty, Partha Pratim Pande:
ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs. IEEE Trans. Emerg. Top. Comput. 11(2): 303-317 (2023) - [c21]Biresh Kumar Joardar, Krishnendu Chakrabarty:
Attacking ReRAM-based Architectures using Repeated Writes. DATE 2023: 1-6 - [c20]Chung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty:
Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. DATE 2023: 1-6 - [c19]Ching-Yuan Chen, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Attacking Memristor-Mapped Graph Neural Network by Inducing Slow-to-Write Errors. ETS 2023: 1-4 - [c18]Chukwufumnanya Ogbogu, Soumen Mohapatra, Biresh Kumar Joardar, Janardhan Rao Doppa, Deuk Heo, Krishnendu Chakrabarty, Partha Pratim Pande:
Energy-Efficient ReRAM-Based ML Training via Mixed Pruning and Reconfigurable ADC. ISLPED 2023: 1-6 - [c17]Eduardo Ortega, Tyler K. Bletsch, Biresh Kumar Joardar, Jonti Talukdar, Woohyun Paik, Krishnendu Chakrabarty:
Simply-Track-and-Refresh: Efficient and Scalable Rowhammer Mitigation. ITC 2023: 340-349 - 2022
- [j8]Biresh Kumar Joardar, Aryan Deshwal, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
High-Throughput Training of Deep CNNs on ReRAM-Based Heterogeneous Architectures via Optimized Normalization Layers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1537-1549 (2022) - [j7]Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty, Partha Pratim Pande:
Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3626-3637 (2022) - [c16]Biresh Kumar Joardar, Tyler K. Bletsch, Krishnendu Chakrabarty:
Learning to Mitigate Rowhammer Attacks. DATE 2022: 564-567 - [c15]Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande:
Fault-Tolerant Deep Learning Using Regularization. ICCAD 2022: 159:1-159:6 - [c14]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications. ISQED 2022: 1-6 - 2021
- [j6]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 971-984 (2021) - [j5]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande:
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators. ACM Trans. Embed. Comput. Syst. 20(5s): 55:1-55:23 (2021) - [j4]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande:
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. ACM Trans. Design Autom. Electr. Syst. 26(2): 16:1-16:21 (2021) - [j3]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1743-1756 (2021) - [c13]Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande:
3D++: Unlocking the Next Generation of High-Performance and Energy-Efficient Architectures using M3D Integration. DATE 2021: 158-163 - [c12]Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Biresh Kumar Joardar, Krishnendu Chakrabarty:
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. DATE 2021: 1667-1672 - [c11]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks. ICCAD 2021: 1-9 - [c10]Biresh Kumar Joardar, Aqeeb Iqbal Arka, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs: (ICCAD Special Session Paper). ICCAD 2021: 1-7 - [c9]Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li:
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. ICCAD 2021: 1-9 - [i5]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty:
ReGraphX: NoC-enabled 3D Heterogeneous ReRAM Architecture for Training Graph Neural Networks. CoRR abs/2102.07959 (2021) - [i4]Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li:
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. CoRR abs/2109.05437 (2021) - [i3]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, Partha Pratim Pande:
ReaLPrune: ReRAM Crossbar-aware Lottery Ticket Pruned CNNs. CoRR abs/2111.09272 (2021) - 2020
- [c8]Biresh Kumar Joardar, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty:
GRAMARCH: A GPU-ReRAM based Heterogeneous Architecture for Neural Image Segmentation. DATE 2020: 228-233 - [i2]Aqeeb Iqbal Arka, Biresh Kumar Joardar, Ryan Gary Kim, Dae Hyun Kim, Janardhan Rao Doppa, Partha Pratim Pande:
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration. CoRR abs/2012.00102 (2020)
2010 – 2019
- 2019
- [j2]Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Learning-Based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. IEEE Trans. Computers 68(6): 852-866 (2019) - [j1]Aryan Deshwal, Nitthilan Kannappan Jayakodi, Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande:
MOOS: A Multi-Objective Design Space Exploration and Optimization Framework for NoC Enabled Manycore Systems. ACM Trans. Embed. Comput. Syst. 18(5s): 77:1-77:23 (2019) - [c7]Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao:
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS 2019: 21:1-21:10 - [c6]Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande:
Design and Optimization of Heterogeneous Manycore Systems Enabled by Emerging Interconnect Technologies: Promises and Challenges. DATE 2019: 138-143 - [c5]Biresh Kumar Joardar, Bing Li, Janardhan Rao Doppa, Hai Li, Partha Pratim Pande, Krishnendu Chakrabarty:
REGENT: A Heterogeneous ReRAM/GPU-based Architecture Enabled by NoC for Training CNNs. DATE 2019: 522-527 - [c4]Biresh Kumar Joardar, Priyanka Ghosh, Partha Pratim Pande, Ananth Kalyanaraman, Sriram Krishnamoorthy:
NoC-enabled software/hardware co-design framework for accelerating k-mer counting. NOCS 2019: 4:1-4:8 - 2018
- [c3]Biresh Kumar Joardar, Karthi Duraisamy, Partha Pratim Pande:
High performance collective communication-aware 3D Network-on-Chip architectures. DATE 2018: 1351-1356 - [c2]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Hybrid on-chip communication architectures for heterogeneous manycore systems. ICCAD 2018: 62 - [i1]Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems. CoRR abs/1810.08869 (2018) - 2017
- [c1]Biresh Kumar Joardar, Wonje Choi, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande, Diana Marculescu, Radu Marculescu:
3D NoC-Enabled Heterogeneous Manycore Architectures for Accelerating CNN Training: Performance and Thermal Trade-offs. NOCS 2017: 18:1-18:8
Coauthor Index
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last updated on 2024-11-22 19:46 CET by the dblp team
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