Paper Info
Title
On The Effect Of Exploiting Gpus For A More Eco-Sustainable Lease Of Life
Abstract
It has been estimated that about 2% of global carbon dioxide emissions can be attributed to IT systems. Green (or sustainable) computing refers to supporting business critical computing needs with the least possible amount of power. This phenomenon changes the priorities in the design of new software systems and in the way companies handle existing ones. In this paper, we present the results of a research project aimed to develop a migration strategy to give an existing software system a new and more eco-sustainable lease of life. We applied a strategy for migrating a subject system that performs intensive and massive computation to a target architecture based on a Graphics Processing Unit (GPU). We validated our solution on a system for path finding robot simulations. An analysis on execution time and energy consumption indicated that: (i) the execution time of the migrated system is less than the execution time of the original system; and (ii) the migrated system reduces energy waste, so suggesting that it is more eco-sustainable than its original version. Our findings improve the body of knowledge on the effect of using the GPU in green computing.
Year
DOI
Venue
2015
10.1142/S0218194015500023
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
Keywords
Field
DocType
Green computing, greening, GPU, path finding robot simulation, migration
Body of knowledge,Architecture,Green computing,Systems engineering,Computer science,Information technology,Software system,Graphics processing unit,Robot,Energy consumption,Distributed computing,Embedded system
Journal
Volume
Issue
ISSN
25
1
0218-1940
Citations 
PageRank 
References 
3
0.38
16
Authors
4
Name
Order
Citations
PageRank
Giuseppe Scanniello188377.10
Ugo Erra220828.74
Giuseppe Caggianese34810.01
Carmine Gravino472147.71