Lapedo: Hybrid Skeletons for Programming Heterogeneous Multicore Machines in Erlang



We describe Lapedo, a novel library of hybrid parallel skeletons for programming heterogeneous multi-core/many-core CPU/GPU sys- tems in Erlang. Lapedo’s hybrid skeletons comprise a mixture of CPU and GPU components, allowing skeletons to be flexibly and dynamically mapped to available resources. We also describe a model for deriving near-optimal division of work between CPUs and GPUs, ensuring load balancing between resources. Finally, we evaluate the effectiveness of Lapedo on three realistic use cases from different domains, demonstrat- ing significant speedups compared to executing the same application on only CPU cores or a GPU
Date made available30 Sept 2015
Date of data production1 Apr 2015 - 30 Sept 2015
  • Lapedo: hybrid skeletons for programming heterogeneous multicore machines in Erlang

    Janjic, V., Brown, C. M. & Hammond, K., Apr 2016, Parallel Computing: On the Road to Exascale. Joubert, G. R., Leather, H., Parsons, M., Peters, F. & Sawyer, M. (eds.). IOS Press, p. 185-195 (Advances in Parallel Computing; vol. 27).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    6 Citations (Scopus)
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