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 the approach are presented. © 2012 World Scientific Publishing Company.
ASJC Scopus subject areas
- Hardware and Architecture
- Theoretical Computer Science
Aldinucci, M., Danelutto, M., Kilpatrick, P., & Torquati, M. (2012). Targeting heterogeneous architectures via macro data flow. Parallel Processing Letters, 22(2), 1-12. . https://doi.org/10.1142/S0129626412400063