Tartan: Evaluating Spatial Computation for Whole Program Execution

 

In 12th ACM International Conference on Architecture Support for Programming Languages and Operating Systems (ASPLOS)

Mahim Mishra, Timothy J Callahan, Tiberiu Chelcea, Girish Venkataramani, Mihai Budiu, and Seth Copen Goldstein

pages 163–174, San Jose, CA

October, 2006

Abstract


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@inproceedings{mahim-asplos06,
  title = {Tartan: Evaluating Spatial Computation for Whole Program
     Execution},
  author = {Mishra, Mahim and Callahan, Timothy J and Chelcea, Tiberiu
     and Venkataramani, Girish and Budiu, Mihai and Goldstein, Seth
     Copen},
  booktitle = {12th ACM International Conference on Architecture
     Support for Programming Languages and Operating Systems
     (ASPLOS)},
  year = {2006},
  pages = {163--174},
  address = {San Jose, CA},
  month = {October},
  abstract = {Spatial Computing (SC) has been shown to be an
     energy-efficient model for implementing program kernels. In this
     paper we explore the feasibility of using SC for more than small
     kernels. To this end, we evaluate the performance and energy
     efficiency of entire applications on Tartan, a general-purpose
     architecture which integrates a reconfigurable fabric (RF) with a
     superscalar core. Our compiler automatically partitions and
     compiles an application into an instruction stream for the core
     and a configuration for the RF. We use a detailed simulator to
     capture both timing and energy numbers for all parts of the
     system. \par Our results indicate that a hierarchical RF
     architecture, designed around a scalable interconnect, is
     instrumental in harnessing the benefits of spatial computation.
     The interconnect uses static configuration and routing at the
     lower levels and a packet-switched, dynamically-routed network at
     the top level. Tartan is most energy-efficient when almost all of
     the application is mapped to the RF, indicating the need for the
     RF to support most general-purpose programming constructs. Our
     initial investigation reveals that such a system can provide, on
     average, an order of magnitude improvement in energy-delay
     compared to an aggressive superscalar core on single-threaded
     workloads.},
  keywords = {Asychronous Circuits, Spatial Computing, Reconfigurable
     Computing,Phoenix, Tartan},
  url = {http://www.cs.cmu.edu/~seth/papers/mahim-asplos06.pdf}
}

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