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