Abstract:This paper presents a number of flexible parallelism control mechanisms in the form of evaluation strategies for tree-like data structures implemented in Glasgow parallel Haskell. We achieve additional flexibility by using laziness and circular programs in the coordination code. Heuristics-based parameter selection is employed to auto-tune these strategies for improved performance on a sharedmemory machine without programmer-specified parameters. In particular for unbalanced trees we demonstrate improved perfo… Show more
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