RT Conference Proceedings
T1 Energy aware execution environments and algorithms on low power multi-core architectures
A1 Catalán, Sandra
A1 Rodríguez-Sánchez, Rafael
A1 Quintana-Ortí, Enrique S.
A2 Carretero Pérez, Jesús
A2 García Blas, Javier
A2 Petcu, Dana
AB Energy consumption is a key aspect that conditions the proper functioning of nowadays data centers and highperformance computing just like the launch of new services, due to its environmental negative impact and theincreasing economic costs of energy.The energy efficiency of the applications used in these data centers could be improved, especially when systems’utilization rate is low or moderate, or when targeting memory bounded applications. In this sense, energyproportionality stands for systems which power consumption is in line with the amount of work performed in eachmoment. As a response to these needs, the main objective of this project is to study, design, develop and analyzeexperimental solutions (models, programs, tools and techniques) aware of energy proportionality for scientific andengineering applications on low-power architectures. With the aim of showing the benefits of this contribution, twoapplications, coming from the image processing and dynamic molecular simulation fields, have been chosen.
SN 978-84-608-6309-0
YR 2016
FD 2016-02
LK https://hdl.handle.net/10016/22865
UL https://hdl.handle.net/10016/22865
LA eng
NO Proceedings of the First PhD Symposium on Sustainable UltrascaleComputing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.
NO European Cooperation in Science and Technology. COST
DS e-Archivo
RD 18 may. 2024