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Md Farhadur Reza
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2020 – today
- 2024
- [j5]Md Farhadur Reza:
High-performance application mapping in network-on-chip-based multicore systems. J. Supercomput. 80(13): 18573-18599 (2024) - [c15]Md Farhadur Reza, Dominik Cloud:
Nature-inspired Dragonfly Algorithm for High-Performance and Energy-Efficient Mapping of Deep Neural Networks in Networks-on-Chip. MCSoC 2024: 163-170 - 2023
- [j4]Md Farhadur Reza
:
Machine Learning Enabled Solutions for Design and Optimization Challenges in Networks-on-Chip based Multi/Many-Core Architectures. ACM J. Emerg. Technol. Comput. Syst. 19(3): 23:1-23:26 (2023) - [c14]Md Farhadur Reza, Zachary McCloud:
Heuristics-Enabled High-Performance Application Mapping in Network-on-Chip based Multicore Systems. COINS 2023: 1-6 - 2022
- [j3]Md Farhadur Reza
:
Deep Reinforcement Learning Enabled Self-Configurable Networks-on-Chip for High-Performance and Energy-Efficient Computing Systems. IEEE Access 10: 65339-65354 (2022) - 2021
- [j2]Md Farhadur Reza
, Dan Zhao, Magdy A. Bayoumi:
Energy-efficient task-resource co-allocation and heterogeneous multi-core NoC design in dark silicon era. Microprocess. Microsystems 86: 104055 (2021) - [c13]Md Farhadur Reza
, Tung Thanh Le:
Reinforcement Learning Enabled Routing for High-Performance Networks-on-Chip. ISCAS 2021: 1-5 - [c12]Md Farhadur Reza
:
Reinforcement Learning for Runtime Optimization for High Performance and Energy Efficient NoC. ISOCC 2021: 284-285 - [c11]Md Farhadur Reza
:
Machine learning for design and optimization challenges in multi/many-core network-on-chip. NoCArc@MICRO 2021: 29-34 - [c10]Md Farhadur Reza
, Bo Zhao:
Deep Reinforcement Learning with Different Rewards for Scheduling in High-Performance Computing Systems. MWSCAS 2021: 183-186 - [e1]Gang Qu, Jinjun Xiong, Danella Zhao, Venki Muthukumar, Md Farhadur Reza, Ramalingam Sridhar:
34th IEEE International System-on-Chip Conference, SOCC 2021, Las Vegas, NV, USA, September 14-17, 2021. IEEE 2021, ISBN 978-1-6654-2931-3 [contents] - 2020
- [c9]Md Farhadur Reza
:
Reinforcement Learning based Dynamic Link Configuration for Energy-Efficient NoC. MWSCAS 2020: 468-473 - [c8]Md Farhadur Reza
:
Deep Reinforcement Learning for Self-Configurable NoC. SoCC 2020: 185-190
2010 – 2019
- 2019
- [c7]Md Farhadur Reza
, Paul Ampadu:
Approximate Communication Strategies for Energy-Efficient and High Performance NoC: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI 2019: 399-404 - [c6]Md Farhadur Reza
, Paul Ampadu:
Energy-efficient and high-performance NoC architecture and mapping solution for deep neural networks. NOCS 2019: 12:1-12:8 - 2018
- [j1]Md Farhadur Reza
, Dan Zhao, Hongyi Wu, Magdy A. Bayoumi:
Hotspot-aware task-resource co-allocation for heterogeneous many-core networks-on-chip. Comput. Electr. Eng. 68: 581-602 (2018) - [c5]Yuechen Chen
, Md Farhadur Reza
, Ahmed Louri:
DEC-NoC: An Approximate Framework Based on Dynamic Error Control with Applications to Energy-Efficient NoCs. ICCD 2018: 480-487 - [c4]Md Farhadur Reza
, Tung Thanh Le, Bappaditya Dey
, Magdy A. Bayoumi, Dan Zhao:
Neuro-NoC: Energy Optimization in Heterogeneous Many-Core NoC using Neural Networks in Dark Silicon Era. ISCAS 2018: 1-5 - [c3]Md Farhadur Reza
, Dan Zhao, Magdy A. Bayoumi:
Power- Thermal Aware Balanced Task-Resource Co-Allocation in Heterogeneous Many CPU-GPU Cores NoC in Dark Silicon Era. SoCC 2018: 260-265 - 2017
- [c2]Md Farhadur Reza
, Dan Zhao, Magdy A. Bayoumi:
Dark silicon-power-thermal aware runtime mapping and configuration in heterogeneous many-core NoC. ISCAS 2017: 1-4 - 2016
- [c1]Md Farhadur Reza
, Dan Zhao, Hongyi Wu:
Task-Resource Co-Allocation for Hotspot Minimization in Heterogeneous Many-Core NoCs. ACM Great Lakes Symposium on VLSI 2016: 137-140
Coauthor Index

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