Peter Kogge

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Peter Michael Kogge (born December 3, 1946 in Washington, DC ) is an American computer architect.

Kogge studied electrical engineering at the University of Notre Dame with a bachelor's degree in 1968 and Syracuse University with a master's degree in 1970. He received his doctorate in 1973 from Stanford University . From 1968 to 1994 he was with IBM . Since 1994 he has been a professor at the University of Notre Dame. From 2001 to 2008 he was Associate Dean for Research in the College of Engineering .

During his time at IBM, he was Adjunct Professor at the State University of New York in Binghamton from 1977 . In 1977 he was visiting professor at the University of Massachusetts and from 1997 he was visiting scientist at the Center for Integrated Space Microsystems of the Jet Propulsion Laboratory .

In his dissertation, he dealt with the solution of difference equations with parallel algorithms and this resulted in a work with Harold Stone, which defined the Kogge-Stone adder. It is still considered the fastest implementation of addition in computers today.

At IBM he designed the Space Shuttle I / O Computer , the first parallel computer used in space travel. He also designed the first multi-core processor Execube and other advanced architectures at IBM such as RTAIS and the IBM 3838 Array Processor .

In 1982 he published the first book on pipeline processors . At the University of Notre Dame, he led a DARPA study on the feasibility of exascale computing (1000 times the performance of current computers on the Peta scale). He also deals with PIM architectures in which memories and processing units are closely interlinked (PIM for Processing in Memory ).

He is involved in several supercomputer projects that use PIM, such as the Cascade project (Cray XC 30) by Cray and the PIM-lite project with Jay Brockman from the University of Notre Dame.

In 1990 he became an IEEE and in 1993 an IBM Fellow . In 2012 he received the Seymour Cray Award and in 2015 the Computer Pioneer Award .

Fonts

  • The Architecture of Pipelined Computers. McGraw Hill, 1981.
  • The Architecture of Symbolic Computers. McGraw Hill, 1991.

Web links

Individual evidence

  1. Life data according to American Men and Women of Science , Thomson Gale 2004
  2. Kogge, Stone A Parallel Algorithm for the Efficient Solution of a General Class of Recurrence Equations , IEEE Transactions on Computing, C 22, 1973, pp. 783-791
  3. Exascale Computing Study, 2008