Ren Wu

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Ren Wu [1] Ren Wu,

a Chinese American computer scientist and entrepreneur in the big data, deep learning industry and former Xiangqi and chess programmer. He holds a Ph.D. from Queen Mary, University of London, and was affiliated with the Hewlett Packard Intelligent Information Management Lab in Palo Alto, California, focusing on enabling near real-time business intelligence with robust, scalable data management, data-intensive analytics and fusion of structured and unstructured information, GPU computing, and massively parallel algorithms. After holding positions as Chief Software Architect of Heterogeneous System Architecture at AMD and as Distinguished Scientist at Baidu, Inc., he founded NovuMind [2] in 2015, and served as its CEO since then [3], producing the NovuTensor chip, a special-purpose processor designed to perform tensor computation for convolutional neural networks [4] [5].

ICGA Journal Award

Along with Don Beal, Ren Wu researched and published on Retrograde Analysis for Chinese Chess Endgame Tablebases, and won the 2002 ICGA Journal Award [9].

Selected Publications

[10] [11]

2000 …

2010 …

Forum Posts

Wu/Beal predates Koistinen by Guy Haworth, CCC, December 04, 2001 Re: Wu/Beal predates Koistinen by Ren Wu, CCC, December 04, 2001

References

  1. Ren Wu | LinkedIn
  2. NovuMind - Company
  3. NovuMind - Leadership
  4. NovuMind - Technology
  5. NovuMind’s AI Chip Sparks Controversy by Junko Yoshida, EE Times, October 24, 2018
  6. WMCCC Jakarta by Chris Whittington, rgcc, August 8, 1996
  7. Re: Fritz5 ECM test suite results by Ren Wu, rgcc, September 6, 1997
  8. Re: Chess software for psion post 5 by Chris Whittington, rgcc, April 18, 1996
  9. Ren Wu, Don Beal (2001). Fast, Memory-efficient Retrograde Algorithms. ICGA Journal, Vol. 24, No. 3
  10. dblp: Ren Wu
  11. ICGA Reference Database
  12. Generating egtbs ICGAJ by Tony Werten, CCC, December 04, 2001, with reference to Computing endgames with few men by Urban Koistinen
  13. Wu / Beal retrograde analisys algorithm by Alvaro Jose Povoa Cardoso, Winboard Forum, March 10, 2007
  14. Ren Wu, Don Beal (2001). Fast, Memory-efficient Retrograde Algorithms. ICGA Journal, Vol. 24, No. 3
  15. Computing endgames with few men by Urban Koistinen

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