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Kwai Wong
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- Kamkwai Wong (aka: Wong Kam-Kwai)
- Kwai L. Wong
- Kwai Lam Wong
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2020 – today
- 2024
- [c18]Julian Halloy, Stephen Qiu, Stanimire Tomov, Kwai Wong:
PyMAGMA: A Python Interface for MAGMA. PEARC 2024: 40:1-40:4 - [c17]Noah Dahle, Meghan Kwon, Kwai Wong, Stanimire Tomov:
Using Graph Neural Networks to Predict Gene-Autoimmune Disease Associations. PEARC 2024: 93:1-93:4 - [c16]Kristina Wilson, Clifford Li, Hon Man Lau, Kwai Wong, Stanimire Tomov:
Implementing Single-precision and Half-precision Tensor Operations. PEARC 2024: 109:1-109:4 - 2020
- [c15]Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin:
Integrating Deep Learning in Domain Sciences at Exascale. SMC 2020: 35-50 - [c14]Rocco Febbo, Brendan Flood, Julian Halloy, Patrick Lau, Kwai Wong, Alan Ayala:
Autonomous Vehicle Control Using a Deep Neural Network and Jetson Nano. PEARC 2020: 333-338 - [i1]Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin:
Integrating Deep Learning in Domain Sciences at Exascale. CoRR abs/2011.11188 (2020)
2010 – 2019
- 2019
- [c13]Daniel Nichols, Nathalie-Sofia Tomov, Frank Betancourt, Stanimire Tomov, Kwai Wong, Jack J. Dongarra:
MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing. ISC Workshops 2019: 490-503 - [c12]Kwai Wong, Stanimire Tomov, Jack J. Dongarra:
Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments. ISC Workshops 2019: 643-655 - [c11]Frank Betancourt, Kwai Wong, Efosa Asemota, Quindell Marshall, Daniel Nichols, Stanimire Tomov:
openDIEL: A Parallel Workflow Engine and Data Analytics Framework. PEARC 2019: 20:1-20:7 - [c10]Daniel Nichols, Kwai Wong, Stanimire Tomov, Lucien Ng, Sihan Chen, Alex Gessinger:
MagmaDNN: Accelerated Deep Learning Using MAGMA. PEARC 2019: 71:1-71:6 - 2018
- [c9]Anumeena Sorna, Xiaohe Cheng, Eduardo F. D'Azevedo, Kwai Wong, Stanimire Tomov:
Optimizing the Fast Fourier Transform Using Mixed Precision on Tensor Core Hardware. HiPC Workshops 2018: 3-7 - 2016
- [c8]Gerard Vanloo, Chung Ng, Kison Osborne, Kwai Wong, Ben Ramsey, Dali Wang, Zhirong Bao:
Using High Performance Computing to Model Cellular Embryogenesis. XSEDE 2016: 12:1-12:4 - [c7]Tyler McDaniel, Eduardo F. D'Azevedo, Ying Wai Li, Paul R. C. Kent, Ming Wong, Kwai Wong:
Delayed Update Algorithms for Quantum Monte Carlo Simulation on GPU: Extended Abstract. XSEDE 2016: 13:1-13:4 - [c6]Kwai Wong, Gregory D. Peterson:
Challenges and Accomplishments of the Computational Science Undergraduate Research Experiences Program. XSEDE 2016: 53:1-53:5 - 2014
- [j3]Eduardo F. D'Azevedo, Zhiang Hu, Shi-Quan Su, Kwai Wong:
Solving a large scale radiosity problem on GPU-based parallel computers. J. Comput. Appl. Math. 270: 109-120 (2014) - [j2]Andrew Kail, Kwai Wong, Henian Xia, Xiaopeng Zhao:
Interoperable executive library for the simulation of biomedical processes. J. Comput. Appl. Math. 270: 257-274 (2014) - [c5]Kwai Wong, Logan Brown, Jason Coan, David White:
Distributive Interoperable Executive Library (DIEL) for Systems of Multiphysics Simulation. PDCAT 2014: 49-55 - 2012
- [j1]Henian Xia, Kwai Wong, Xiaopeng Zhao:
A Fully Coupled Model for Electromechanics of the Heart. Comput. Math. Methods Medicine 2012: 927279:1-927279:10 (2012)
2000 – 2009
- 2007
- [c4]Christian A. Lang, Bishwaranjan Bhattacharjee, Timothy Malkemus, Sriram Padmanabhan, Kwai Wong:
Increasing Buffer-Locality for Multiple Relational Table Scans through Grouping and Throttling. ICDE 2007: 1136-1145 - [c3]Christian A. Lang, Bishwaranjan Bhattacharjee, Timothy Malkemus, Kwai Wong:
Increasing Buffer-Locality for Multiple Index Based Scans through Intelligent Placement and Index Scan Speed Control. VLDB 2007: 1298-1309 - 2003
- [c2]Calisto Zuzarte, Hamid Pirahesh, Wenbin Ma, Qi Cheng, Linqi Liu, Kwai Wong:
WinMagic : Subquery Elimination Using Window Aggregation. SIGMOD Conference 2003: 652-656
1990 – 1999
- 1998
- [c1]Chih-Cheng Hung, Asim YarKhan, Kwai Wong, S. A. von Laven, Tommy L. Coleman:
Parallel implementation of an integrated edge-preserving smoothing algorithm in clusters of workstations. ACM Southeast Regional Conference 1998: 20-22
Coauthor Index
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