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. Copyright 2007 ACM.
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CITATION STYLE
Chakravarty, M. M. T., Leshchinskiy, R., Jones, S. P., Keller, G., & Marlow, S. (2007). Data parallel Haskell: A status report. In Conference Record of the Annual ACM Symposium on Principles of Programming Languages (pp. 10–18). https://doi.org/10.1145/1248648.1248652
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