Dataflow: A Complement to Superscalar

 

In IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

Mihai Budiu, Pedro V. Artigas, and Seth Copen Goldstein

pages 177–186, Austin, TX

March, 2005

Abstract


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@inproceedings{budiu-ispass05,
  author = {Budiu, Mihai and Artigas, Pedro V. and Goldstein, Seth
     Copen},
  title = {Dataflow: A Complement to Superscalar},
  booktitle = {IEEE International Symposium on Performance Analysis of
     Systems and Software (ISPASS)},
  month = {March},
  year = {2005},
  pages = {177--186},
  address = {Austin, TX},
  url = {http://www.cs.cmu.edu/~seth/papers/budiu-ispass05.pdf},
  abstract = {There has been a resurgence of interest in dataflow
     architectures, because of their potential for exploiting
     parallelism with low overhead. In this paper we analyze the
     performance of a class of static dataflow machines on integer
     media and control-intensive programs and we explain why a
     dataflow machine, even with unlimited resources, does not always
     outperform a superscalar processor on general-purpose codes,
     under the assumption that both machines take the same time to
     execute basic operations. We compare a program-specific dataflow
     machine with unlimited parallelism to a superscalar processor
     running the same program. While the dataflow machines provide
     very good performance on most data-parallel programs, we show
     that the dataflow machine cannot always take advantage of the
     available parallelism. Using the dynamic critical path we
     investigate the mechanisms used by superscalar processors to
     provide a performance advantage and their impact on a dataflow
     model.},
  confweb = {http://www.ispass.org/ispass2005},
  keywords = {Spatial Computing,Phoenix}
}

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