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Using the GPU to Green an Intensive and Massive Computation System

Contributo in Atti di convegno
Data di Pubblicazione:
2013
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Green Computing; Greening; GPU; Migration
Elenco autori:
Caggianese, Giuseppe
Autori di Ateneo:
CAGGIANESE GIUSEPPE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/422513
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URL

https://ieeexplore.ieee.org/document/6498494
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