Managing Heterogeneity in a Grid Parallel Haskell

  title={Managing Heterogeneity in a Grid Parallel Haskell},
  author={Abdallah Al Zain and Philip W. Trinder and Hans-Wolfgang Loidl and Greg J. Michaelson},
  journal={Scalable Computing: Practice and Experience},
Grid-GUM is a distributed virtual shared-memory implementation of a high-level parallel language for computational Grids. While the implementation delivers good speedups on multiple homogeneous clusters with low-latency interconnect, on heterogeneous clusters, however, poor load balance limits performance. Here we present new load management mechanisms that combine static and partial dynamic information to adapt to heterogeneous Grids. The mechanisms are evaluated by measuring four non-trivial… CONTINUE READING
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Grid-GUM: Towards GridEnabled Haskell

A. Al Zain, P. Trinder, H-W. Loidl, G. Michaelson
In IFL’04 — Intl. Workshop on the Implementation of Functional Languages, • 2004
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