High Performance Computing

Scientific and Engineering Computing

• PhD in Computer Software and Theory, University of Chinese Academy of Sciences, 2007.
• BSc in Information and Computational Science, University of Science and Technology of China, 2002.

Primary Positions

·     Laboratory of Parallel Software and Computational Science, Institute of Software, Chinese Academy of Sciences

Deputy Director (June 2016 – Present)

Full Professor (December 2013 – Present)

Associate Professor (November 2009 – December 2013)

Assistant Professor (July 2007 – November 2009)

·     Institute of Software, Chinese Academy of Sciences

Member of the Degree Committee (March 2016 – Present)

Member of the Academic Committee (September 2013 – Present)

Guest or Adjunct Positions

·     University of Chinese Academy of Sciences

Professor (September 2015 – Present)

·     State Key Laboratory of Computer Science, Chinese Academy of Sciences

Professor (December 2013 – Present)

·     Guiyang Institute for Information Technology Research (Guiyang Branch, Institute of Software, Chinese Academy of Sciences)

Executive Deputy Director (September 2014 – May 2016)

·     Guizhou Institute for Industrial Technology Development

Guest Consultant (December 2016 – Present)

Visiting Experience

·     Department of Mathematics, Hong Kong University of Science and Technology

Visiting Professor (February 2017)

·     Division of MCSE (now CEMS), King Abdullah University of Science and Technology

Visiting Professor (April 2011 – May 2011)

Visiting Scholar (October 2010)

·     Department of Computer Science, University of Colorado Boulder

Visiting Scholar (October 2007 – January 2013, Periodically)

·     Classes taught at Institute of Software, Chinese Academy of Sciences

Spring 2016: High-Performance Scientific Computing (40 hours)

Fall 2013: Advanced Numerical Methods for Parallel Computing (60 hours)

·     Classes taught at University of Chinese Academy of Sciences

Fall 2015: Applied PDEs and Scientific Computing (3 hours, guest lecturer)

Fall 2014: Applied PDEs and Scientific Computing (3 hours, guest lecturer)

Fall 2013: Applied PDEs and Scientific Computing (3 hours, guest lecturer)

Awards

·     CCF-IEEE CS Young Computer Scientist Award (October 2017)

·     CAS Outstanding Science and Technology Achievement Prize (September 2017)

·     CAS Specially Appointed Professor (June 2017)

·     ACM Gordon Bell Prize (November 2016)

·     ISCAS Excellent Graduate Mentors (July 2017, July 2014, twice)

·     CAS Lu Jia-Xi Young Talent Award (January 2012)

·     ISCAS Distinguished Young Scientist (January 2012)

HPC Benchmarking

·     1st Place in HPGMG List, Sunway TaihuLight (November 2017)

·     2nd Place in HPGMG List, Sunway TaihuLight (June 2017)

·     3rd Place in HPCG List, Sunway TaihuLight (June 2016, June 2017, twice)

·     1st Place in HPCG List, Tianhe-2 (November 2014) 

   

Journal Articles

[1].    H. Yang, S. Sun, S. Li, C. Yang, A scalable fully implicit framework for reservoir simulation on parallel computers, Comput. Methods Appl. Mech. Eng., 330 (2018), pp. 334-350.

[2].    H. Yang, S. Sun, C. Yang, Nonlinearly preconditioned semismooth Newton methods for variational inequality solution of two-phase flow in porous media, J. Comput. Phys., 332 (2017), pp. 1-20.

[3].    L. Yin, C. Yang, S.-Z. Ma, et al., Parallel numerical simulation of the thermal convection in the Earth’s outer core on the cubed-sphere, Geophys. J. Int’l., 209:3 (2017), pp. 1934-1954.

[4].    P. Zhang, C. Yang, C. Chen, et al., Development of a hybrid parallel MCV-based high-order global shallow-water model, J. Supercomput., 73:6 (2017), pp. 2823-2842.

[5].    H. Fu, L. Gan, C. Yang, et al., Solving global shallow water equations on heterogeneous supercomputers, PLoS ONE, 12:3 (2017), p. e0172583.

[6].    H. Fu, L. Gan, W. Luk, C. Yang, et al., Solving mesoscale atmospheric dynamics using reconfigurable dataflow architecture, IEEE Micro, 37 (2017), pp. 40-50.

[7].    J. Sun, C. Yang, X.-C. Cai, Algorithm development for extreme-scale computing, Nat’l Sci. Rev., 3:1 (2016), pp. 26-27.

[8].    H. Yang, C. Yang, S. Sun, Active-set reduced-space methods with nonlinear elimination for two-phase flow problems in porous media, SIAM J. Sci. Comput., 38:4 (2016), pp. B593-B618.

[9].    J. Huang, C. Yang, X.-C. Cai, A nonlinearly preconditioned inexact Newton algorithm for steady state lattice Boltzmann equations, SIAM J. Sci. Comput., 38:3 (2016), pp. S1701-S1724.

[10].  Y. Liu, C. Yang, F. Liu, et al., 623 Tflop/s HPCG run on Tianhe-2: leveraging millions of hybrid cores, Int’l J. High Perf. Comput. Appl., 30:1 (2016), pp. 39-54.

[11].  Y. Liu, H. Yang, C. Yang, A scalable fully implicit method with adaptive time stepping for unsteady compressible inviscid flows, Comput. Struct., 176 (2016), pp. 1-12.

[12].  H. Fu, J. Liao, J. Yang, L. Wang, Z. Song, X. Huang, C. Yang, et al., The Sunway TaihuLight supercomputer: system and applications, Sci. China Inform. Sci., 59 (2016), pp 1-16.

[13].  J. Huang, C. Yang, X.-C. Cai, Fully implicit method for lattice Boltzmann equations, SIAM J. Sci. Comput., 37:5 (2015), pp. S291-S313.

[14].  X. Zheng, C. Yang, X.-C. Cai, D. Keyes, A parallel domain decomposition-based implicit method for the Cahn–Hilliard–Cook phase-field equation in 3D, J. Comput. Phys., 285 (2015), pp. 55-70.

[15].  W. Xue, C. Yang, H. Fu, et al., Ultra-scalable CPU-MIC acceleration of mesoscale atmospheric modeling on Tianhe-2, IEEE T. Computers, 64 (2015), pp. 2382-2393.

[16].  L. Gan, H. Fu, W. Luk, C. Yang, et al., Solving the global atmospheric equations through heterogeneous reconfigurable platforms, ACM T. Recon. Tech. Sys., 8 (2015), pp. 11:1-11:16.

[17].  H. Yang, C. Yang, X.-C. Cai, Mixed order discretization based two-level Schwarz precondtioners for a tracer transport problem on the cubed-sphere, Comput. Fluids, 110 (2015), pp. 88-95.

[18].  J. Huang, L. Cao, C. Yang, A multiscale algorithm for radiative heat transfer equation with rapidly oscillating coefficients, Appl. Math. Comput., 266 (2015), pp 149–168.

[19].  C. Yang, X.-C. Cai, A scalable fully implicit compressible Euler solver for mesoscale nonhydrostatic simulation of atmospheric flows, SIAM J. Sci. Comput., 36:5 (2014), pp. S23-S47.

[20].  H. Yang, C. Yang, X.-C. Cai, Parallel domain decomposition methods with mixed order discretization for fully implicit solution of tracer transport problems on the cubed-sphere, J. Sci. Comput., 61:2 (2014), pp. 258-280.

[21].  C. Yang, J. Sun, New six-node and seven-node hexagonal finite elements, Appl. Math. Comput., 218:24 (2012), pp. 11763-11774.

[22].  C. Yang, X.-C. Cai, Parallel multilevel methods for implicit solution of shallow water equations with nonsmooth topography on the cubed-sphere, J. Comput. Phys., 230:7 (2011), pp. 2523-2539.

[23].  C. Yang, X.-C. Cai, A parallel well-balanced finite volume method for shallow water equations with topography on the cubed-sphere, J. Comput. Appl. Math., 235:18 (2011), pp. 5357-5366.

[24].  C. Yang, J. Cao, X.-C. Cai, A fully implicit domain decomposition algorithm for shallow water equations on the cubed-sphere, SIAM J. Sci. Comput., 32:1 (2010), pp. 418–438.

Conference Proceedings

[25].  Y. Ao, C. Yang, X. Wang, et al., 26 PFLOPS stencil computations for atmospheric modeling on Sunway TaihuLight, in: Proc. IEEE IPDPS-2017.

[26].  L. Jiang, C. Yang, Y. Ao, et al., Towards highly efficient DGEMM on the emerging SW26010 many-core processor, in: Proc. ICPP-2017.

[27].  C. Yang, W. Xue, H. Fu, et al., 10M-core scalable fully-implicit solver for nonhydrostatic atmospheric dynamics, In: Proc. ACM/IEEE SC-2016, pp 6:1–12,

[28].  P. Zhang, Y. Ao, C. Yang, et al., Pattern-driven hybrid multi- and many-core acceleration in the MPAS shallow water model, in: Proc. ICPP-2015, pp 71–80.

[29].  W. Xue, C. Yang, H. Fu, et. al., Enabling and scaling a global shallow-water atmospheric model on Tianhe-2, in: Proc. IEEE IPDPS-2014, pp. 745-754.

[30].  Q. Sun, C. Yang, Optimization of scan algorithms on multi- and many-core processors, in: Proc. IEEE HiPC 2014.

[31].  C. Yang, W. Xue, H. Fu, et al., A Peta-scalable CPU-GPU algorithm for global atmospheric simulations, in: Proc. ACM SIGPLAN PPoPP-2013, pp. 1-12.