Data parallel Haskell: a status report

  • Authors:
  • Manuel M. T. Chakravarty;Roman Leshchinskiy;Simon Peyton Jones;Gabriele Keller;Simon Marlow

  • Affiliations:
  • University of New South Wales;University of New South Wales;Microsoft Research Ltd, Cambridge, England;University of New South Wales;Microsoft Research Ltd, Cambridge, England

  • Venue:
  • Proceedings of the 2007 workshop on Declarative aspects of multicore programming
  • Year:
  • 2007

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Abstract

We describe the design and current status of our effort to implement the programming model of nested data parallelism into the Glasgow Haskell Compiler. We extended the original programming model and its implementation, both of which were first popularised by the NESL language, in terms of expressiveness as well as efficiency. Our current aim is to provide a convenient programming environment for SMP parallelism, and especially multicore architectures. Preliminary benchmarks show that we are, at least for some programs, able to achieve good absolute performance and excellent speedups.