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Edward S. Davidson

From Wikipedia, the free encyclopedia

Edward S. Davidson is a professor emeritus in Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.[1]

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Transcription

Research interests

His research interests include computer architecture, pipelining theory, parallel processing, performance modeling, intelligent caches, and application tuning. In the 1970s, he developed the reservation table approach to optimum design and cyclic scheduling of pipelines, designed and implemented an eight-node symmetric multiprocessor (SMP) system in 1976, and developed a variety of systematic methods for modeling performance and enhancing systems, including early work on simulated annealing, wave pipelining, multiple instruction stream pipelines, decoupled access-execute architecture, and polycyclic scheduling (aka software pipelining). He is a Fellow of the IEEE.

Education

Teaching

Service

Awards

  • 1992 IEEE Harry H. Goode Memorial Award for "pivotal seminal contributions to the design, implementation, and performance evaluation of high performance computer systems."[2]
  • 1996 Taylor L. Booth Education Award for "contributions to the establishment of computer engineering as an academic discipline and for nurturing many leaders of this field during their formative years in the profession."
  • 2000 IEEE/ACM Eckert-Mauchly Award "for his seminal contributions to the design, implementation, and performance evaluation of high performance pipelines and multiprocessor systems"[3]

References

  1. ^ "Edward S. Davidson". Electrical Engineering and Computer Science. University of Michigan. Retrieved 26 January 2011.
  2. ^ "1992 Harry H. Goode Memorial Award Recipient". IEEE Computer Society. Archived from the original on 26 December 2010. Retrieved 26 January 2011.
  3. ^ "Edward S. Davidson - 2000 Eckert-Mauchly Award Recipient". IEEE Computer Society. Archived from the original on 11 October 2012. Retrieved 26 January 2011.

External links

This page was last edited on 29 November 2023, at 19:19
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