**Chao Yang, Professor, PhD**

Email: yangchao_AT_iscas_DOT_ac_DOT_cn

Telephone: +86-10-62661635

Address: Zhong Guan Cun South 4th St, Beijing 100190, China

### Research Areas

High Performance Computing

Scientific and Engineering Computing

### Education

- 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.

### Experience

##### Work Experience

*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)

##### Teaching Experience

· **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)

### Honors & Distinctions

*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)

### Publications

##### Selected Papers

*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.