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Biresh Kumar Joardar
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Learning-based application-agnostic 3D NoC design for heterogeneous manycore systems
BK Joardar, RG Kim, JR Doppa, PP Pande, D Marculescu, R Marculescu
IEEE Transactions on Computers 68 (6), 852-866, 2018
382018
MOOS: A multi-objective design space exploration and optimization framework for NoC enabled manycore systems
A Deshwal, NK Jayakodi, BK Joardar, JR Doppa, PP Pande
ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-23, 2019
202019
AccuReD: High accuracy training of CNNs on ReRAM/GPU heterogeneous 3-D architecture
BK Joardar, JR Doppa, PP Pande, H Li, K Chakrabarty
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
162020
High performance collective communication-aware 3D Network-on-Chip architectures
BK Joardar, K Duraisamy, PP Pande
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018
162018
3D NoC-enabled heterogeneous manycore architectures for accelerating CNN training: Performance and thermal trade-offs
BK Joardar, W Choi, RG Kim, JR Doppa, PP Pande, D Marculescu, ...
2017 Eleventh IEEE/ACM International Symposium on Networks-on-Chip (NOCS), 1-8, 2017
152017
REGENT: A heterogeneous ReRAM/GPU-based architecture enabled by NoC for training CNNs
BK Joardar, B Li, JR Doppa, H Li, PP Pande, K Chakrabarty
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 522-527, 2019
132019
GRAMARCH: A GPU-ReRAM based heterogeneous architecture for neural image segmentation
BK Joardar, NK Jayakodi, JR Doppa, H Li, PP Pande, K Chakrabarty
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 228-233, 2020
102020
Design and optimization of heterogeneous manycore systems enabled by emerging interconnect technologies: Promises and challenges
BK Joardar, RG Kim, JR Doppa, PP Pande
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 138-143, 2019
102019
ReGraphX: NoC-enabled 3D heterogeneous ReRAM architecture for training graph neural networks
AI Arka, JR Doppa, PP Pande, BK Joardar, K Chakrabarty
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
72021
NoC-enabled software/hardware co-design framework for accelerating k-mer counting
BK Joardar, P Ghosh, PP Pande, A Kalyanaraman, S Krishnamoorthy
Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip …, 2019
62019
Hybrid on-chip communication architectures for heterogeneous manycore systems
BK Joardar, JR Doppa, PP Pande, D Marculescu, R Marculescu
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2018
52018
High-throughput training of deep CNNs on ReRAM-based heterogeneous architectures via optimized normalization layers
BK Joardar, A Deshwal, JR Doppa, PP Pande, K Chakrabarty
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021
42021
HeM3D: Heterogeneous Manycore Architecture Based on Monolithic 3D Vertical Integration
AI Arka, BK Joardar, RG Kim, DH Kim, JR Doppa, PP Pande
ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (2 …, 2021
42021
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems
P Bogdan, F Chen, A Deshwal, JR Doppa, BK Joardar, H Li, S Nazarian, ...
Proceedings of the International Conference on Hardware/Software Codesign …, 2019
42019
Multi-objective optimization of ReRAM crossbars for robust DNN inferencing under stochastic noise
X Yang, S Belakaria, BK Joardar, H Yang, JR Doppa, PP Pande, ...
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
22021
Learning to train CNNs on faulty ReRAM-based manycore accelerators
BK Joardar, JR Doppa, H Li, K Chakrabarty, PP Pande
ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-23, 2021
22021
3D++: Unlocking the next generation of high-performance and energy-efficient architectures using M3D integration
BK Joardar, AI Arka, JR Doppa, PP Pande
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 158-163, 2021
22021
Heterogeneous Manycore Architectures Enabled by Processing-in-Memory for Deep Learning: From CNNs to GNNs:(ICCAD Special Session Paper)
BK Joardar, AI Arka, JR Doppa, PP Pande, H Li, K Chakrabarty
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021
12021
DARe: DropLayer-Aware Manycore ReRAM architecture for Training Graph Neural Networks
AI Arka, BK Joardar, JR Doppa, PP Pande, K Chakrabarty
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
12021
Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures
AI Arka, BK Joardar, JR Doppa, PP Pande, K Chakrabarty
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (10 …, 2021
12021
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