Finding parallel functional pearls : automatic parallel recursion scheme detection in Haskell functions via anti-unification
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This paper describes a new technique for identifying potentially parallelisable code structures in functional programs. Higher-order functions enable simple and easily understood abstractions that can be used to implement a variety of common recursion schemes, such as maps and folds over traversable data structures. Many of these recursion schemes have natural parallel implementations in the form of algorithmic skeletons. This paper presents a technique that detects instances of potentially parallelisable recursion schemes in Haskell 98 functions. Unusually, we exploit anti-unification to expose these recursion schemes from source-level definitions whose structures match a recursion scheme, but which are not necessarily written directly in terms of maps, folds, etc. This allows us to automatically introduce parallelism, without requiring the programmer to structure their code a priori in terms of specific higher-order functions. We have implemented our approach in the Haskell refactoring tool, HaRe, and demonstrated its use on a range of common benchmarking examples. Using our technique, we show that recursion schemes can be easily detected, that parallel implementations can be easily introduced, and that we can achieve real parallel speedups (up to 23 . 79 × the sequential performance on 28 physical cores, or 32 . 93 × the sequential performance with hyper-threading enabled).
Barwell , A D , Brown , C & Hammond , K 2018 , ' Finding parallel functional pearls : automatic parallel recursion scheme detection in Haskell functions via anti-unification ' , Future Generation Computer Systems , vol. 79 , no. Part 2 , pp. 669-686 . https://doi.org/10.1016/j.future.2017.07.024
Future Generation Computer Systems
© 2017 Elsevier Ltd. All rights reserved. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1016/j.future.2017.07.024
DescriptionThis work has been partially supported by the EU H2020 grant “RePhrase: Refactoring Parallel Heterogeneous Resource-Aware Applications–a Software Engineering Approach” (ICT-644235), by COST Action IC1202 (TACLe), supported by COST (European Cooperation in Science and Technology) , by EPSRC grant “Discovery: Pattern Discovery and Program Shaping for Manycore Systems” (EP/P020631/1), and by Scottish Enterprise PS7305CA44.
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