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Pham Nam Khanh
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2010 – 2019
- 2016
- [j1]Pham Nam Khanh, Akash Kumar
, Amit Kumar Singh
Leakage aware resource management approach with machine learning optimization framework for partially reconfigurable architectures. Microprocess. Microsystems 47: 231-243 (2016) - [c7]Pham Nam Khanh, Khin Mi Mi Aung
Automatic framework to generate reconfigurable accelerators for option pricing applications. ReConFig 2016: 1-8 - [c6]Pham Nam Khanh, Akash Kumar
Machine Learning Approach to Generate Pareto Front for List-scheduling Algorithms. SCOPES 2016: 127-134 - 2015
- [c5]Pham Nam Khanh, Amit Kumar Singh, Akash Kumar, Khin Mi Mi Aung:
Exploiting loop-array dependencies to accelerate the design space exploration with high level synthesis. DATE 2015: 157-162 - 2014
- [c4]Pham Nam Khanh, Amit Kumar Singh, Akash Kumar
Design Space Exploration to Accelerate Nelder-Mead Algorithm Using FPGA. FCCM 2014: 100 - [c3]Siqi Wang
Leakage and performance aware resource management for 2D dynamically reconfigurable FPGA architectures. FPL 2014: 1-4 - [c2]Pham Nam Khanh, Amit Kumar Singh, Akash Kumar
A multi-stage leakage aware resource management technique for reconfigurable architectures. ACM Great Lakes Symposium on VLSI 2014: 63-68 - 2013
- [c1]Pham Nam Khanh, Amit Kumar Singh, Akash Kumar
Incorporating Energy and Throughput Awareness in Design Space Exploration and Run-Time Mapping for Heterogeneous MPSoCs. DSD 2013: 513-521
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