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词条 Guy Blelloch
释义

  1. See also

  2. References

  3. External links

{{Infobox scientist
|name = Guy Blelloch
|image =
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|residence = Pittsburgh
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|fields = Computer Science
|workplaces = Carnegie Mellon University
|alma_mater = Swarthmore College, Massachusetts Institute of Technology
|doctoral_advisor = Charles E. Leiserson
|academic_advisors =
|doctoral_students = Virginia Vassilevska Williams
|notable_students =
|thesis_url = http://www.cs.cmu.edu/~blelloch/papers/Ble90.pdf
|thesis_title = Vector Models for Data-Parallel Computing
|thesis_year = 1988
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}}Guy Edward Blelloch is a professor of computer science at Carnegie Mellon University.[1][2] He is known for his work in parallel programming and parallel algorithms.[3] He teaches the 15-853: Algorithms in the Real World[4] course, the 15-492: Parallel Algorithms (Spring 09) course, and the 15-210: Parallel and Sequential Data Structure and Algorithms (Fall 11) course at the Carnegie Mellon University.[1]

In 2011 he was inducted as a Fellow of the Association for Computing Machinery.[5]

See also

  • Parallel programming

References

1. ^{{cite web|url=http://www.cs.cmu.edu/~guyb/ |title=Guy Blelloch |publisher=Cs.cmu.edu |date=1997-01-21 |accessdate=2011-03-12}}
2. ^{{cite web|url=http://www.infoq.com/news/2009/04/Guy-Blelloch |title=Is Parallel Programming Hard? Prof. Guy Blelloch Argues That It Isn't |publisher=InfoQ |date= |accessdate=2011-03-12}}
3. ^{{cite web|url=http://software.intel.com/en-us/articles/is-parallel-programming-hard/ |title=Is Parallel Programming Hard? - Intel® Software Network |publisher=Software.intel.com |date=2009-04-16 |accessdate=2011-03-12}}
4. ^{{cite web|url=http://www.cs.cmu.edu/~guyb/realworld/ |title=Algorithms in the Real World}}
5. ^http://fellows.acm.org/fellow_citation.cfm?id=3352499&srt=year&year=2011

External links

  • Official website
{{Authority control}}{{DEFAULTSORT:Blelloch, Guy}}{{compu-scientist-stub}}

4 : American computer scientists|Year of birth missing (living people)|Living people|Fellows of the Association for Computing Machinery

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