Title :
Green code: Energy efficiency in the source code for high-performance computing
Author :
Corral-Garcia, Javier ; Gomez-Martin, Cesar ; Gonzalez-Sanchez, Jose-Luis
Author_Institution :
CenitS (Centro Extremeno de Investig., Innovacion Tecnol. y Supercomputacion), Caceres, Spain
Abstract :
Energy consumption is a key challenge in HPC (High-Performance Computing). Nowadays, as far as software is concerned, optimizations for energy saving are usually implemented at different levels, with an obvious lack of proposals so that the user could directly write energy-efficient code. This proposal aims to contribute to source code optimization so as to achieve optimal performances and maximum efficiencies in their executions, demonstrating the importance of certain strategies in creating code.
Keywords :
energy conservation; green computing; parallel processing; power aware computing; source code (software); HPC; energy efficiency; green code; high-performance computing; source code optimization; Conferences; Energy consumption; Energy efficiency; Green computing; Hardware; Optimization; Software; HPC; High-Performance Computing; OpenMP; efficient code; energy saving;
Conference_Titel :
Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on
Conference_Location :
Aveiro
DOI :
10.1109/CISTI.2015.7170550