DocumentCode :
1959172
Title :
Using the GPU to Green an Intensive and Massive Computation System
Author :
Scanniello, Giuseppe ; Erra, U. ; Caggianese, G. ; Gravino, Carmine
Author_Institution :
Dipt. di Mat. e Inf., Univ. della Basilicata, Potenza, Italy
fYear :
2013
fDate :
5-8 March 2013
Firstpage :
384
Lastpage :
387
Abstract :
In this paper, we present the early results of an ongoing project aimed at giving an existing software system a more eco-sustainable lease of life. We defined a strategy and a process for migrating a subject system that performs intensive and massive computation to a Graphics Processing Unit (GPU) based architecture. We validated our solutions on a software system for path finding robot simulations. An initial comparison on the energy consumption of the original system and the greened one has been also executed. The obtained results suggested that the application of our solution produced more eco-sustainable software.
Keywords :
energy consumption; graphics processing units; sustainable development; GPU based architecture; eco-sustainable software; energy consumption; graphics processing unit; path finding robot simulation; software system; Energy consumption; Graphics processing units; Green products; Instruction sets; Robots; Software systems; GPU; Green Computing; Greening; Migration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance and Reengineering (CSMR), 2013 17th European Conference on
Conference_Location :
Genova
ISSN :
1534-5351
Print_ISBN :
978-1-4673-5833-0
Type :
conf
DOI :
10.1109/CSMR.2013.55
Filename :
6498494
Link To Document :
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