Targeting heterogeneous architectures via macro data flow


Autoria(s): Aldinucci, M.; Danelutto, M.; Kilpatrick, P.; Torquati, M.
Data(s)

01/06/2012

Resumo

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.

Identificador

http://pure.qub.ac.uk/portal/en/publications/targeting-heterogeneous-architectures-via-macro-data-flow(12523f14-038c-4c90-be80-42856502f4b5).html

http://dx.doi.org/10.1142/S0129626412400063

http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-84862059433&md5=018b7b0acf423a275d68cdf204c7c501

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Aldinucci , M , Danelutto , M , Kilpatrick , P & Torquati , M 2012 , ' Targeting heterogeneous architectures via macro data flow ' Parallel Processing Letters , vol 22 , no. 2 , 1240006 , pp. 1-12 . DOI: 10.1142/S0129626412400063

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/1700/1708 #Hardware and Architecture #/dk/atira/pure/subjectarea/asjc/1700/1712 #Software #/dk/atira/pure/subjectarea/asjc/2600/2614 #Theoretical Computer Science
Tipo

article