William Tang

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

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Corrigendum: Applications and techniques for fast machine learning in science.

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton

Frontiers Big Data, 2024

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

Zhe Bai, Xishuo Wei, William Tang, Leonid Oliker, Zhihong Lin, Samuel Williams

CoRR, 2024

2023

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

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 2023

2022

Applications and Techniques for Fast Machine Learning in Science.

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton

Frontiers Big Data, 2022

2021

Applications and Techniques for Fast Machine Learning in Science.

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey D. Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric A. Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan S. Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng

CoRR, 2021

Hybrid-View Programming of Nuclear Fusion Simulation Code in XcalableMP.

Keisuke Tsugane, Taisuke Boku, Hitoshi Murai, Mitsuhisa Sato, William Tang, Bei Wang

Proceedings of the XcalableMP PGAS Programming Language, 2021

2019

Predicting disruptive instabilities in controlled fusion plasmas through deep learning.

Julian Kates-Harbeck, Alexey Svyatkovskiy, William Tang

Nat., 2019

Modern gyrokinetic particle-in-cell simulation of fusion plasmas on top supercomputers.

Bei Wang, Stéphane Ethier, William M. Tang, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker

Int. J. High Perform. Comput. Appl., 2019

An Empirical Study of HPC Workloads on Huawei Kunpeng 916 Processor.

Yichao Wang, Jin-Kun Chen, Bin-Rui Li, Sicheng Zuo, William Tang, Bei Wang, Qiucheng Liao, Rui Xie, James Lin

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018

Big data and extreme-scale computing.

Mark Asch, Terry Moore, Rosa M. Badia, Micah Beck, Peter H. Beckman, T. Bidot, François Bodin, Franck Cappello, Alok N. Choudhary, Bronis R. de Supinski, Ewa Deelman, Jack J. Dongarra, Anshu Dubey, Geoffrey C. Fox, H. Fu, Sergi Girona, William Gropp, Michael A. Heroux, Yutaka Ishikawa, Katarzyna Keahey, David E. Keyes, Bill Kramer, J.-F. Lavignon, Y. Lu, Satoshi Matsuoka, Bernd Mohr, Daniel A. Reed, S. Requena, Joel H. Saltz, Thomas C. Schulthess, Rick L. Stevens, D. Martin Swany, Alexander S. Szalay, William M. Tang, G. Varoquaux, Jean-Pierre Vilotte, Robert W. Wisniewski, Z. Xu, Igor Zacharov

Int. J. High Perform. Comput. Appl., 2018

Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code Using Directives.

Wenlu Zhang, Wayne Joubert, Peng Wang, Bei Wang, William Tang, Matthew Niemerg, Lei Shi, Sam Taimourzadeh, Jian Bao, Zhihong Lin

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.

Linjin Cai, Yichao Wang, William M. Tang, Bei Wang, Stéphane Ethier, Zhao Liu, James Lin

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.

William Tang, Bei Wang, Stéphane Ethier, Zhihong Lin

Supercomput. Front. Innov., 2017

Training distributed deep recurrent neural networks with mixed precision on GPU clusters.

Alexey Svyatkovskiy, Julian Kates-Harbeck, William Tang

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.

Keisuke Tsugane, Taisuke Boku, Hitoshi Murai, Mitsuhisa Sato, William M. Tang, Bei Wang

Parallel Comput., 2016

Extreme scale plasma turbulence simulations on top supercomputers worldwide.

William M. Tang, Bei Wang, Stéphane Ethier, Grzegorz Kwasniewski, Torsten Hoefler, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker, Carlos Rosales-Fernandez, Timothy J. Williams

Proceedings of the International Conference for High Performance Computing, 2016

Performance and Portability Studies with OpenACC Accelerated Version of GTC-P.

Yueming Wei, Yichao Wang, Linjin Cai, William M. Tang, Bei Wang, Stéphane Ethier, Simon See, James Lin

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.

Stéphane Ethier, Choong-Seock Chang, Seung-Hoe Ku, Wei-Li Lee, Weixing Wang, Zhihong Lin, William M. Tang

Comput. Sci. Eng., 2015

2014

Scientific Discovery in Fusion Plasma Turbulence Simulations at Extreme Scale.

William M. Tang, Bei Wang, Stéphane Ethier

Comput. Sci. Eng., 2014

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

Keisuke Tsugane, Hideo Nuga, Taisuke Boku, Hitoshi Murai, Mitsuhisa Sato, William M. Tang, Bei Wang

Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

2013

Kinetic turbulence simulations at extreme scale on leadership-class systems.

Bei Wang, Stéphane Ethier, William M. Tang, Timothy J. Williams, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker

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.

Bei Wang, Stéphane Ethier, William M. Tang, Khaled Z. Ibrahim, Kamesh Madduri, Samuel W. Williams, Leonid Oliker, Timothy J. Williams

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Advances in Gyrokinetic Particle in Cell Simulation for Fusion Plasmas to Extreme Scale.

Bei Wang, Stéphane Ethier, William M. Tang, Khaled Z. Ibrahim, Kamesh Madduri, Samuel W. Williams, Leonid Oliker, Timothy J. Williams

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2011

The International Exascale Software Project roadmap.

Jack J. Dongarra, Peter H. Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara M. Chapman, Xuebin Chi, Alok N. Choudhary, Sudip S. Dosanjh, Thom H. Dunning, Sandro Fiore, Al Geist, Bill Gropp, Robert J. Harrison, Mark Hereld, Michael A. Heroux, Adolfy Hoisie, Koh Hotta, Zhong Jin, Yutaka Ishikawa, Fred Johnson, Sanjay Kale, Richard Kenway, David E. Keyes, Bill Kramer, Jesús Labarta, Alain Lichnewsky, Thomas Lippert, Bob Lucas, Barney Maccabe, Satoshi Matsuoka, Paul Messina, Peter Michielse, Bernd Mohr, Matthias S. Müller, Wolfgang E. Nagel, Hiroshi Nakashima, Michael E. Papka, Daniel A. Reed, Mitsuhisa Sato, Edward Seidel, John Shalf, David Skinner, Marc Snir, Thomas L. Sterling, Rick Stevens, Frederick H. Streitz, Bob Sugar, Shinji Sumimoto, William M. Tang, John A. Taylor, Rajeev Thakur, Anne E. Trefethen, Mateo Valero, Aad J. van der Steen, Jeffrey S. Vetter, Peg Williams, Robert W. Wisniewski, Katherine A. Yelick

Int. J. High Perform. Comput. Appl., 2011

2008

Large-scale gyrokinetic particle simulation of microturbulence in magnetically confined fusion plasmas.

Stéphane Ethier, William M. Tang, Robert Walkup, Leonid Oliker

IBM J. Res. Dev., 2008