William Tang

Orcid: 0000-0002-8211-3636

Affiliations:
  • Princeton University, Princeton Institute for Computational Science and Engineering, NJ, USA


According to our database1, William Tang authored at least 25 papers between 2008 and 2024.

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Bibliography

2024
Corrigendum: Applications and techniques for fast machine learning in science.
Frontiers Big Data, 2024

FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks.
CoRR, 2024

2023
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023

2022
Applications and Techniques for Fast Machine Learning in Science.
Frontiers Big Data, 2022

2021
Applications and Techniques for Fast Machine Learning in Science.
CoRR, 2021

Hybrid-View Programming of Nuclear Fusion Simulation Code in XcalableMP.
Proceedings of the XcalableMP PGAS Programming Language, 2021

2019
Predicting disruptive instabilities in controlled fusion plasmas through deep learning.
Nat., 2019

Modern gyrokinetic particle-in-cell simulation of fusion plasmas on top supercomputers.
Int. J. High Perform. Comput. Appl., 2019

An Empirical Study of HPC Workloads on Huawei Kunpeng 916 Processor.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018
Big data and extreme-scale computing.
Int. J. High Perform. Comput. Appl., 2018

Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code Using Directives.
Proceedings of the Accelerator Programming Using Directives - 5th International Workshop, 2018

OpenACC vs the Native Programming on Sunway TaihuLight: A Case Study with GTC-P.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
Performance Portability of HPC Discovery Science Software: Fusion Energy Turbulence Simulations at Extreme Scale.
Supercomput. Front. Innov., 2017

Training distributed deep recurrent neural networks with mixed precision on GPU clusters.
Proceedings of the Machine Learning on HPC Environments, 2017

2016
Hybrid-view programming of nuclear fusion simulation code in the PGAS parallel programming language XcalableMP.
Parallel Comput., 2016

Extreme scale plasma turbulence simulations on top supercomputers worldwide.
Proceedings of the International Conference for High Performance Computing, 2016

Performance and Portability Studies with OpenACC Accelerated Version of GTC-P.
Proceedings of the 17th International Conference on Parallel and Distributed Computing, 2016

2015
NERSC's Impact on Advances of Global Gyrokinetic PIC Codes for Fusion Energy Research.
Comput. Sci. Eng., 2015

2014
Scientific Discovery in Fusion Plasma Turbulence Simulations at Extreme Scale.
Comput. Sci. Eng., 2014

Hybrid-view programming of nuclear fusion simulation code in the PGAS parallel programming language XcalableMP.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

2013
Kinetic turbulence simulations at extreme scale on leadership-class systems.
Proceedings of the International Conference for High Performance Computing, 2013

2012
Poster: Advances in Gyrokinetic Particle in Cell Simulation for Fusion Plasmas to Extreme Scale.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Advances in Gyrokinetic Particle in Cell Simulation for Fusion Plasmas to Extreme Scale.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2011
The International Exascale Software Project roadmap.
Int. J. High Perform. Comput. Appl., 2011

2008
Large-scale gyrokinetic particle simulation of microturbulence in magnetically confined fusion plasmas.
IBM J. Res. Dev., 2008


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