Identifying Energy-Efficient Concurrency Levels using Machine Learning

Autoria(s): Curtis-Maury, Matthew; Singh, Karan; McKee, Sally; Blagojevic, Filip; Nikolopoulos, Dimitrios; Supinski, Bronis R. De; Schulz, Martin
Data(s)

01/09/2007
Formato

application/pdf
Identificador

http://pure.qub.ac.uk/portal/en/publications/identifying-energyefficient-concurrency-levels-using-machine-learning(4f43eb07-73aa-4c78-bc7a-d848b41559d8).html

http://dx.doi.org/10.1109/CLUSTR.2007.4629274

http://pure.qub.ac.uk/ws/files/3443223/greencom07.pdf
Idioma(s)

eng
Publicador

Institute of Electrical and Electronics Engineers (IEEE)
Direitos

info:eu-repo/semantics/restrictedAccess
Fonte

Curtis-Maury , M , Singh , K , McKee , S , Blagojevic , F , Nikolopoulos , D , Supinski , B R D & Schulz , M 2007 , Identifying Energy-Efficient Concurrency Levels using Machine Learning . in Proceedings of the First International Workshop on Green Computing (GREENCOM) : Held in conjunction with the 2007 IEEE International Conference on Cluster Computing (CLUSTER) . Institute of Electrical and Electronics Engineers (IEEE) , Los Alamitos, CA, USA , pp. 488-495 . DOI: 10.1109/CLUSTR.2007.4629274
Palavras-Chave #/dk/atira/pure/subjectarea/asjc/1700/1708 #Hardware and Architecture #/dk/atira/pure/subjectarea/asjc/1700/1711 #Signal Processing #/dk/atira/pure/subjectarea/asjc/1700/1712 #Software
Tipo

contributionToPeriodical
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