Kwai Wong

According to our database, Kwai Wong authored at least 21 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Implementing Single-precision and Half-precision Tensor Operations.

Kristina Wilson, Clifford Li, Hon Man Lau, Kwai Wong, Stanimire Tomov

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

PyMAGMA: A Python Interface for MAGMA.

Julian Halloy, Stephen Qiu, Stanimire Tomov, Kwai Wong

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Using Graph Neural Networks to Predict Gene-Autoimmune Disease Associations.

Noah Dahle, Meghan Kwon, Kwai Wong, Stanimire Tomov

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

2020

Autonomous Vehicle Control Using a Deep Neural Network and Jetson Nano.

Rocco Febbo, Brendan Flood, Julian Halloy, Patrick Lau, Kwai Wong, Alan Ayala

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Integrating Deep Learning in Domain Sciences at Exascale.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2019

MagmaDNN: Accelerated Deep Learning Using MAGMA.

Daniel Nichols, Kwai Wong, Stanimire Tomov, Lucien Ng, Sihan Chen, Alex Gessinger

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

openDIEL: A Parallel Workflow Engine and Data Analytics Framework.

Frank Betancourt, Kwai Wong, Efosa Asemota, Quindell Marshall, Daniel Nichols, Stanimire Tomov

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Hands-On Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments.

Kwai Wong, Stanimire Tomov, Jack J. Dongarra

Proceedings of the High Performance Computing, 2019

MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing.

Daniel Nichols, Nathalie-Sofia Tomov, Frank Betancourt, Stanimire Tomov, Kwai Wong, Jack J. Dongarra

Proceedings of the High Performance Computing, 2019

2018

Optimizing the Fast Fourier Transform Using Mixed Precision on Tensor Core Hardware.

Anumeena Sorna, Xiaohe Cheng, Eduardo F. D'Azevedo, Kwai Wong, Stanimire Tomov

Proceedings of the 25th IEEE International Conference on High Performance Computing Workshops, 2018

2016

Challenges and Accomplishments of the Computational Science Undergraduate Research Experiences Program.

Kwai Wong, Gregory D. Peterson

Proceedings of the XSEDE16 Conference on Diversity, 2016

Using High Performance Computing to Model Cellular Embryogenesis.

Gerard Vanloo, Chung Ng, Kison Osborne, Kwai Wong, Ben Ramsey, Dali Wang, Zhirong Bao

Proceedings of the XSEDE16 Conference on Diversity, 2016

Delayed Update Algorithms for Quantum Monte Carlo Simulation on GPU: Extended Abstract.

Tyler McDaniel, Eduardo F. D'Azevedo, Ying Wai Li, Paul R. C. Kent, Ming Wong, Kwai Wong

Proceedings of the XSEDE16 Conference on Diversity, 2016

2014

Interoperable executive library for the simulation of biomedical processes.

Andrew Kail, Kwai Wong, Henian Xia, Xiaopeng Zhao

J. Comput. Appl. Math., 2014

Solving a large scale radiosity problem on GPU-based parallel computers.

Eduardo F. D'Azevedo, Zhiang Hu, Shi-Quan Su, Kwai Wong

J. Comput. Appl. Math., 2014

Distributive Interoperable Executive Library (DIEL) for Systems of Multiphysics Simulation.

Kwai Wong, Logan Brown, Jason Coan, David White

Proceedings of the 15th International Conference on Parallel and Distributed Computing, 2014

2012

A Fully Coupled Model for Electromechanics of the Heart.

Henian Xia, Kwai Wong, Xiaopeng Zhao

Comput. Math. Methods Medicine, 2012

2007

Increasing Buffer-Locality for Multiple Index Based Scans through Intelligent Placement and Index Scan Speed Control.

Christian A. Lang, Bishwaranjan Bhattacharjee, Timothy Malkemus, Kwai Wong

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Increasing Buffer-Locality for Multiple Relational Table Scans through Grouping and Throttling.

Christian A. Lang, Bishwaranjan Bhattacharjee, Timothy Malkemus, Sriram Padmanabhan, Kwai Wong

Proceedings of the 23rd International Conference on Data Engineering, 2007

2003

WinMagic : Subquery Elimination Using Window Aggregation.

Calisto Zuzarte, Hamid Pirahesh, Wenbin Ma, Qi Cheng, Linqi Liu, Kwai Wong

Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, 2003

1998

Parallel implementation of an integrated edge-preserving smoothing algorithm in clusters of workstations.

Chih-Cheng Hung, Asim YarKhan, Kwai Wong, S. A. von Laven, Tommy L. Coleman

Proceedings of the 36th Annual ACM Southeast Regional Conference, 1998