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2020 – today
- 2024
[c5]Hoang-Loc La
, Vi Ngoc-Nha Tran, Hung Manh La, Phuong Hoai Ha:
Interpretable Fuzzy Embedded Neural Network for Multivariate Time-Series Forecasting. ACIIDS (2) 2024: 317-331- 2022
- [j1]Vi Ngoc-Nha Tran, Alireza Shams, Sinan Ascioglu, Antal Martinecz, Jingyi Liang, Fabrizio Clarelli, Rafal Mostowy, Ted Cohen, Pia Abel zur Wiesch:
vCOMBAT: a novel tool to create and visualize a computational model of bacterial antibiotic target-binding. BMC Bioinform. 23(1): 22 (2022)
2010 – 2019
- 2018
- [c4]Vi Ngoc-Nha Tran, Tommy Oines, Alexander Horsch, Phuong Hoai Ha:
REOH: Using Probabilistic Network for Runtime Energy Optimization of Heterogeneous Systems. ICPADS 2018: 381-388 - [i6]Phuong Hoai Ha, Vi Ngoc-Nha Tran, Ibrahim Umar, Aras Atalar, Anders Gidenstam, Paul Renaud-Goud, Philippas Tsigas:
White-box methodologies, programming abstractions and libraries. CoRR abs/1801.08761 (2018) - [i5]Phuong Ha, Vi Ngoc-Nha Tran, Ibrahim Umar, Philippas Tsigas, Anders Gidenstam, Paul Renaud-Goud, Ivan Walulya, Aras Atalar:
Models for energy consumption of data structures and algorithms. CoRR abs/1801.09992 (2018) - [i4]Vi Ngoc-Nha Tran, Tommy Oines, Alexander Horsch, Phuong Hoai Ha:
REOH: Runtime Energy Optimization for Heterogeneous Systems. CoRR abs/1801.10263 (2018) - [i3]Phuong Ha, Vi Ngoc-Nha Tran, Ibrahim Umar, Aras Atalar, Anders Gidenstam, Paul Renaud-Goud, Philippas Tsigas, Ivan Walulya:
Power models, energy models and libraries for energy-efficient concurrent data structures and algorithms. CoRR abs/1801.10556 (2018) - [i2]Phuong Hoai Ha, Vi Ngoc-Nha Tran, Ibrahim Umar, Aras Atalar, Anders Gidenstam, Paul Renaud-Goud, Philippas Tsigas, Ivan Walulya:
D2.4 Report on the final prototype of programming abstractions for energy-efficient inter-process communication. CoRR abs/1802.03013 (2018) - 2016
- [c3]Vi Ngoc-Nha Tran, Phuong Hoai Ha:
ICE: A General and Validated Energy Complexity Model for Multithreaded Algorithms. ICPADS 2016: 1041-1048 - [c2]Vi Ngoc-Nha Tran, Brendan Barry, Phuong Hoai Ha:
RTHpower: Accurate fine-grained power models for predicting race-to-halt effect on ultra-low power embedded systems. ISPASS 2016: 155-156 - [c1]Vi Ngoc-Nha Tran, Brendan Barry, Phuong Hoai Ha:
Power models supporting energy-efficient co-design on ultra-low power embedded systems. SAMOS 2016: 39-46 - [i1]Vi Ngoc-Nha Tran, Phuong Hoai Ha:
EPEM: A General and Validated Energy Complexity Model for Multithreaded Algorithms. CoRR abs/1605.08222 (2016)
Coauthor Index
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