Wenhao Jia

Research

I am a Ph.D. student advised by Professor Margaret Martonosi at Princeton University.

My research is in the computer architecture field. In particular, I'm interested in characterizing and improving massively parallel systems, power-performance trade-offs of the memory subsystem in parallel platforms, and appliation performance portability in heterogeneous systems.

Recently I've been working on graphics processing units (GPUs), especially on studying its various microarchitectural components.

Education

• Princeton University, Department of Electrical Engineering
  Ph.D., 2008–Present
  M.A., 2008–2011
• Tsinghua University, Department of Electrical Engineering
  B.Eng. with Honor, 2004–2008

Work Experience

• Google Inc., Mountain View, CA, June–September 2011
  Software Engineering Intern
  Studied function-level program code multi-versioning in GCC
• IBM T.J. Watson Research Center, Hawthorne, NY, June–September 2010
  Research Intern
  Ported, developed and extended a business analytics application in X10 programming languange

Publications

• Starchart: Hardware/Software Optimization Using Recursive Partitioning Regression Trees
  Wenhao Jia, Kelly A. Shaw, and Margaret Martonosi
  To appear in Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (PACT 2013)
• Characterizing and Improving the Use of Demand-Fetched Caches in GPUs [pdf|talk]
  Wenhao Jia, Kelly A. Shaw, and Margaret Martonosi
  In Proceedings of the 26th International Conference on Supercomputing (ICS 2012)
• Stargazer: Automated Regression-Based GPU Design Space Exploration [pdf|talk]
  Wenhao Jia, Kelly A. Shaw, and Margaret Martonosi
  In Proceedings of the 2012 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2012) [Best Paper Award Nomination]

Presentations and Posters

• A System-Level ISA and its Applications to Energy-Performance-Reliability Scheduling and Scratchpad Allocation [pdf]
  Yavuz Yetim, Wenhao Jia, Margaret Martonosi, Sharad Malik, and Kelly Shaw
  Presented in the poster session of the Gigascale Systems Research Center (GSRC) Annual Symposium 2010
• System-level ISA (SISA) [pdf]
  Wenhao Jia, Margaret Martonosi, and Kelly Shaw
  Presented in the poster session of the Gigascale Systems Research Center (GSRC) Annual Symposium 2009

Software Releases

• Stargazer: A statistical regression-based GPU design space exploration tool.
• Starchart: A statistical hardware/software optimization tool using recursive partitioning regression trees (coming soon).