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Table of Contents
Yu-Hang Tang
Background
- Ph.D. student, Division of Applied Mathematics, Brown University.
- B.E., Department of Polymer Science and Engineering, Zhejiang University, China.
Research Interest
- High Performance Computing
- GPGPU computing
- Mesoscale modeling
- Numerical approximations
- Multiscale coupling
Publcations
- Tang, Y.-H. & Karniadakis, G. E. Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications. Computer Physics Communications, In press, 2014.
- Li, X.; Tang, Y.-H.; Liang, H. & Karniadakis, G. E. Large-scale dissipative particle dynamics simulations of self-assembly amphiphilic systems Chemical Communications, Royal Society of Chemistry, 2014.
- Li, Z.; Tang, Y.-H.; Lei, H.; Caswell, B. & Karniadakis, G. E. Energy-conserving dissipative particle dynamics with temperature-dependent properties Journal of Computational Physics, Academic Press, 2014, 265, 113-127.
Conference Presetations
- Tang, Y.-H.. Pre-conference Tutorial: Massively Parallel Programming on CUDA Devices. International Conference on Scientific Computing at Extreme Scales, 2014.
- Tang, Y.-H.. Accelerating Dissipative Particle Dynamics Simulation on Kepler: Algorithm, Numerics and Application. GPU Technology Conference, S4518, 2014.
- Tang, Y.-H., & Karniadakis, G. Dissipative Particle Dynamics Simulations at Extreme Scale: GPU Algorithms, Implementation and Applications. Bulletin of the American Physical Society, 59, 2014.
Professional Services
- Reviewer, Journal of Computational Physics
- Programme Committee, Workshop on Parallel Programming Model for the Masses (held as part of IEEE/ACM CCGrid 2015)