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.
Targeting heterogeneous architectures via macro data flow
ALDINUCCI, MARCO;
2012-01-01
Abstract
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.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
2012_mdf_hplgpu_hipeac.pdf
Accesso riservato
Tipo di file:
POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione
226.54 kB
Formato
Adobe PDF
|
226.54 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
