Hao Zhuang, Ph.D. Computer Science @ UCSD

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Hao Zhuang
Ph.D. in Computer Science,
University of California, San Diego, CA, USA.

Contact: zhuang.howard [at] gmail.com | hao.zhuang [at] cs.ucsd.edu

google scholar | linkedin

Research Interests

My current interests are in numerical algorithms, computation engine/infrastructure, applied machine learning for computer architecture, ASIC/VLSI chips design automation.

Graduate Schools

I got my Ph.D. degree in Computer Science from University of California, San Deigo, CA, USA (UCSD) in 2016. My graduate research projects included numerical algorithms, matrix computation, and stochastic algorithms with the applications in the analysis of large-scale dynamical systems from VLSI/ASIC chips/computer achitectures, design automation and computer-aided design (EDA/CAD) for building computer. Some of the techniques I developed with my colleagues during my graduate research (both my master and PhD) had been commercialized or purchased by the industry.

My PhD course concentration is Computer Systems.

Industry

Since 2015 I am software engineer at ANSYS Applied Machine Learning for Design Automation and Simulation to provide the industrial standard ASIC, VLSI chip power sign-off software, which has been used over a decade for taping out CPU, GPU, and AI chips.

My current role is to lead and architect the machine learning-assisted products (for chip timing, power/EM, and RTL optimizations) in Semiconductor Business Unit on top of the big data distributed system product. (1) To solve challenging machine learning problems in design automation, I worked with Chief Technologiest and Apache co-founder Dr. Norman Chang (UC Berkeley EECS PhD’90). (2) For simulation solver in the flagship product ANSYS RedHawk, I mainly worked with Senior Software Architect Dr. Steven P. McCormick (MIT EECS PhD’89), who is one of pioneers in VLSI model order reduction research. (3) I also worked on the parasitic extraction, network reduction, Chip Power Model integration in the latest production line for Automotive, Mobile and HPC Electronic Designs. It is also my privilege to work with the teams consist of legends in the area of design automation, such as the researcher of AWE, the creators of MIT FastCap, CMU PRIMA, UT RICE, Synopsys PrimeTime, and Apache Redhawk. Before that I worked at Synopsys, Inc., designed graph partitioning algorithms and multi-threaded programs during that summer internship. The algorithm in that summer scaled up the matrix solver for full-chip power network analysis with over billion graph nodes.

Misc

At school we strongly believe the education and technologies play the essential role to navigate our society. I also helped some related projects in my spare time of my PhD study, which created online collaboration and personalized learning systems in order to make education massive and accessible to the world. I worked with (computational) linguists, teachers, and professors. We built those systems with the help of the technologies from natural language processing, computational linguistics, and machine learning in distributed systems. I am also a user of MIT OpenCourseWare, Udacity, and Coursera.

I got married to Xiao Liu, who can jump way longer than me. She was a national college track and field athlete, and represented China and Peking University for International 2007, 2009 (final 8th place), 2011 Summer Universiade. I play basketball games weekly. I usually play (position) 2 on the court. I am a fan of NBA.

Selected Publications [Full List] [Google Scholar Citations]

Selected Software Packages [Full List]

  • RWCap: a multi-threaded 3-D floating random walk algorithm based capacitance solver for ASIC, VLSI Parastic extraction (Implementation using C++, and POSIX pthread). Please check Prof. Wenjian Yu's page for the latest updates.

Selected Patent [Full List]

Services

Honors

  • Qualcomm FMA Fellowship (2013-2014): one of the four recipients [award].

  • Charles Lee Powell Fellowship (2012-2015): for supporting outstanding PhD engineering students.

  • Peking University Wu-Si Scholarship (2011).

Industrial Experience [Details]

Academic Experience [Details]

Selected Talks [Full List]

  • “Matrix Exponential Integration in Time-domain Analysis of Circuit Simulation,” at ECE Department, Peking University, China, Oct 2015 [Flyer]

  • “Matrix Exponential Integration in Time-Domain Analysis of Circuit Simulation,” at Department of Electrical and Electronics Engineering, The University of Hong Kong, Hong Kong, Oct. 2015

  • “Algorithms for Dynamic Power Grid Simulation Using Matrix Exponentials,” at Ansys Inc., San Jose, Sept. 2015.

Teaching

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