Targeting heterogeneous architectures via macro data flow

M. Aldinucci, M. Danelutto, P. Kilpatrick, M. Torquati
University of Torino
Intl. Workshop on High-level Programming for Heterogeneous and Hierarchical Parallel Systems (HLPGPU), 2012


   title={Targeting heterogeneous architectures via macro data flow},

   author={Aldinucci, M. and Danelutto, M. and Kilpatrick, P. and Torquati, M.},



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We propose a data flow based run time system as an efficient tool for supporting execution of parallel code on heterogeneous architectures hosting both multicore CPUs and GPUs. We discuss how the proposed run time system may be the target of both structured parallel applications developed using algorithmic skeletons/parallel design patterns and also more "domain specific" programming models. Experimental results demonstrating the feasibility of our approach are presented.
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