Artikel mit Open-Access-Mandaten - Partha PandeWeitere Informationen
Nicht verfügbar: 15
Machine learning for design space exploration and optimization of manycore systems
RG Kim, JR Doppa, PP Pande
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2018
Mandate: US National Science Foundation, US Department of Defense
Wireless NoC and dynamic VFI codesign: Energy efficiency without performance penalty
RG Kim, W Choi, Z Chen, PP Pande, D Marculescu, R Marculescu
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (7 …, 2016
Mandate: US National Science Foundation
Monolithic 3D-enabled high performance and energy efficient network-on-chip
S Das, JR Doppa, PP Pande, K Chakrabarty
2017 IEEE International Conference on Computer Design (ICCD), 233-240, 2017
Mandate: US National Science Foundation
3D-ReG: A 3D ReRAM-based heterogeneous architecture for training deep neural networks
B Li, JR Doppa, PP Pande, K Chakrabarty, JX Qiu, H Li
ACM Journal on Emerging Technologies in Computing Systems (JETC) 16 (2), 1-24, 2020
Mandate: US Department of Energy
Energy-efficient and reliable 3D Network-on-Chip (NoC): Architectures and optimization algorithms
S Das, JR Doppa, PP Pande, K Chakrabarty
2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2016
Mandate: US National Science Foundation
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, ...
Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on …, 2017
Mandate: US National Science Foundation
NoC-enabled multicore architectures for stochastic analysis of biomolecular reactions
T Majumder, X Li, P Bogdan, P Pande
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2015
Mandate: Department of Science & Technology, India
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
Mandate: US National Science Foundation, US Department of Defense
Network-on-chip-enabled multicore platforms for parallel model predictive control
X Li, K Duraisamy, P Bogdan, T Majumder, PP Pande
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (9 …, 2016
Mandate: US National Science Foundation
Abetting planned obsolescence by aging 3D networks-on-chip
S Das, K Basu, JR Doppa, PP Pande, R Karri, K Chakrabarty
2018 Twelfth IEEE/ACM International Symposium on Networks-on-Chip (NOCS), 1-8, 2018
Mandate: US National Science Foundation, US Department of Defense
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
Mandate: US National Science Foundation, US Department of Defense
VFI-based power management to enhance the lifetime of high-performance 3D NoCs
S Das, D Lee, W Choi, JR Doppa, PP Pande, K Chakrabarty
ACM Transactions on Design Automation of Electronic Systems (TODAES) 23 (1 …, 2017
Mandate: US National Science Foundation, US Department of Defense
Performance-thermal trade-offs for a VFI-enabled 3D NoC architecture
D Lee, S Das, PP Pande
2017 18th International Symposium on Quality Electronic Design (ISQED), 271-276, 2017
Mandate: US National Science Foundation
NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications
BK Joardar, JR Doppa, PP Pande, K Chakrabarty
2022 23rd International Symposium on Quality Electronic Design (ISQED), 1-6, 2022
Mandate: US National Science Foundation, US Department of Defense
A machine learning framework for multi-objective design space exploration and optimization of manycore systems
BK Joardar, A Deshwal, JR Doppa, PP Pande
2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD), 1-6, 2019
Mandate: US National Science Foundation, US Department of Defense
Verfügbar: 83
On-chip communication network for efficient training of deep convolutional networks on heterogeneous manycore systems
W Choi, K Duraisamy, RG Kim, JR Doppa, PP Pande, D Marculescu, ...
IEEE Transactions on Computers 67 (5), 672-686, 2017
Mandate: US National Science Foundation
Design-space exploration and optimization of an energy-efficient and reliable 3-D small-world network-on-chip
S Das, JR Doppa, PP Pande, K Chakrabarty
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016
Mandate: US National Science Foundation
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
Mandate: US National Science Foundation, US Department of Defense
Imitation learning for dynamic VFI control in large-scale manycore systems
RG Kim, W Choi, Z Chen, JR Doppa, PP Pande, D Marculescu, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (9 …, 2017
Mandate: US National Science Foundation
A 40% PAE frequency-reconfigurable CMOS power amplifier with tunable gate–drain neutralization for 28-GHz 5G radios
SN Ali, P Agarwal, L Renaud, R Molavi, S Mirabbasi, PP Pande, D Heo
IEEE Transactions on Microwave Theory and Techniques 66 (5), 2231-2245, 2018
Mandate: US National Science Foundation, Natural Sciences and Engineering Research …
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