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H T Kung

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Name
  
H. Kung

Doctoral advisor
  
Joseph F. Traub

Fields
  
Computer Science

Role
  
Computer scientist


H. T. Kung wikisitescityueduhksitesnewscentreenPublish

Born
  
November 9, 1945 (age 79) (
1945-11-09
)

Institutions
  
Carnegie Mellon University Harvard University

Alma mater
  
National Tsing Hua University Carnegie Mellon University

Thesis
  
Topics in Analytic Computational Complexity (1974)

Doctoral students
  
Brad Karp Charles E. Leiserson Robert T. Morris

Notable awards
  
Member of National Academy of Engineering Academician of Academia Sinica Guggenheim Fellowship

Education
  
Carnegie Mellon University (1971), National Tsing Hua University

Awards
  
Guggenheim Fellowship for Natural Sciences, US & Canada

Similar People
  
Charles E Leiserson, Joseph F Traub, Jon Bentley

Notable students
  
Charles E. Leiserson

H. T. Kung (Kung, Hsiang-Tsung; Chinese: 孔祥重; pinyin: Kong Xiangchong; b. November 9, 1945) is a Chinese American computer scientist. His research is primarily in the area of machine learning, signal processing and compressive sensing, and parallel computing, but his interests have been broad-ranging, including computational complexity theory, database theory, VLSI design, and parallel computing.

Kung received his bachelor's degree in mathematics from National Tsing Hua University in 1968 and Ph.D. from Carnegie Mellon University in 1974, and first taught there, where his research included work on novel parallel computers and the popularization of the Systolic array. He joined Harvard University in 1992, where he is the William H. Gates Professor of Computer Science and Electrical Engineering. Kung also is co-chair of Harvard's "PhD in Information, Technology and Management" Program.

Kung is a member of the Academia Sinica in Taiwan, and also of the National Academy of Engineering in the United States. He is a recipient of the Inventor of the Year Award by the Pittsburgh Intellectual Property Law Association in 1991.

Kung's contributions include: Systolic Arrays; iWarp; Optimistic concurrency control, a core principle underlying many transactional memory and database implementations, including Google App Engine, and Ruby on Rails's data management protocol; Read-Copy-Update, a mutual exclusion synchronization method, deployed in the modern Linux kernel; Greedy Perimeter Stateless Routing, a location-based routing protocol for mesh networks; a communication-avoiding optimal distributed matrix multiplication algorithm; the Kung-Traub algorithm for comparing the expansion of an algebraic function; etc.

References

H. T. Kung Wikipedia


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