Kwai Wong

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 14

Top Topics

Monte Carlo Simulation

Fast Fourier Transform

Top Venues

J. Comput. Appl. Math.

Publications

Noah Dahle, Meghan Kwon, Kwai Wong, Stanimire Tomov
Using Graph Neural Networks to Predict Gene-Autoimmune Disease Associations. PEARC (2024)
Julian Halloy, Stephen Qiu, Stanimire Tomov, Kwai Wong
PyMAGMA: A Python Interface for MAGMA. PEARC (2024)
Kristina Wilson, Clifford Li, Hon Man Lau, Kwai Wong, Stanimire Tomov
Implementing Single-precision and Half-precision Tensor Operations. PEARC (2024)
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 (2020)
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)
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)
Frank Betancourt, Kwai Wong, Efosa Asemota, Quindell Marshall, Daniel Nichols, Stanimire Tomov
openDIEL: A Parallel Workflow Engine and Data Analytics Framework. PEARC (2019)
Daniel Nichols, Kwai Wong, Stanimire Tomov, Lucien Ng, Sihan Chen, Alex Gessinger
MagmaDNN: Accelerated Deep Learning Using MAGMA. PEARC (2019)
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)
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)
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)
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)
Kwai Wong, Gregory D. Peterson
Challenges and Accomplishments of the Computational Science Undergraduate Research Experiences Program. XSEDE (2016)
Gerard Vanloo, Chung Ng, Kison Osborne, Kwai Wong, Ben Ramsey, Dali Wang, Zhirong Bao
Using High Performance Computing to Model Cellular Embryogenesis. XSEDE (2016)
Andrew Kail, Kwai Wong, Henian Xia, Xiaopeng Zhao
Interoperable executive library for the simulation of biomedical processes. J. Comput. Appl. Math. 270 (2014)
Kwai Wong, Logan Brown, Jason Coan, David White
Distributive Interoperable Executive Library (DIEL) for Systems of Multiphysics Simulation. PDCAT (2014)
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 (2014)
Henian Xia, Kwai Wong, Xiaopeng Zhao
A Fully Coupled Model for Electromechanics of the Heart. Comput. Math. Methods Medicine 2012 (2012)
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)
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)
Calisto Zuzarte, Hamid Pirahesh, Wenbin Ma, Qi Cheng, Linqi Liu, Kwai Wong
WinMagic : Subquery Elimination Using Window Aggregation. SIGMOD Conference (2003)
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)