This is an old revision of the document!


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

  1. Tang, Y.-H., Kudo, S., Bian, X., Li, Z., & Karniadakis, G. E. Multiscale Universal Interface: A Concurrent Framework for Coupling Heterogeneous Solvers, Journal of Computational Physics, manuscript in revision.
  2. Tang, Y.-H. & Karniadakis, G. E. Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications. Computer Physics Communications, 2014, 185.11, 2809-2822.
  3. Li, X.; Tang, Y.-H.; Liang, H. & Karniadakis, G. E. Large-scale dissipative particle dynamics simulations of self-assembly amphiphilic systems Chemical Communications, 2014.
  4. 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, 2014, 265, 113-127.

Conference Presetations

  1. Tang, Y.-H.. Pre-conference Tutorial: Massively Parallel Programming on CUDA Devices. International Conference on Scientific Computing at Extreme Scales, 2014.
  2. Tang, Y.-H.. Accelerating Dissipative Particle Dynamics Simulation on Kepler: Algorithm, Numerics and Application. GPU Technology Conference, S4518, 2014.
  3. 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)

Navigation
QR Code
QR Code Yu-Hang Tang (generated for current page)