On the Effect of Exploiting GPUs for a More Eco-Sustainable Lease of Life

Author:

Scanniello Giuseppe1,Erra Ugo1,Caggianese Giuseppe1,Gravino Camine2

Affiliation:

1. Università degli Studi della Basilicata, Dipartimento di Matematica, Informatica ed Economia, Potenza 85100, Italy

2. Università degli Studi di Salerno, Dipartimento di Studi e Ricerche Aziendali, Fisciano(SA) 84084, Italy

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On Haskell and energy efficiency;Journal of Systems and Software;2019-03

2. A Comprehensive Study on the Energy Efficiency of Java’s Thread-Safe Collections;2016 IEEE International Conference on Software Maintenance and Evolution (ICSME);2016-10

3. Haskell in Green Land: Analyzing the Energy Behavior of a Purely Functional Language;2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER);2016-03

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