Abstract | ||
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The main objective of the ParaDIME project has been to minimize energy consumption at all levels of the data center. On the one hand, we have considered what can be achieved on currently existing systems, via improvements of the programming model and the runtime system. On the other hand, we investigated which techniques and design decisions can make future computing nodes more energy efficient. We have successfully proposed and developed several methodologies that enable up to 60% energy savings in data center's components. |
Year | Venue | Field |
---|---|---|
2016 | PROCEEDINGS OF THE 2016 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) | Programming paradigm,Efficient energy use,Computer science,Parallel computing,Server,Real-time computing,Energy consumption,Data center,Energy minimization,Embedded system,Runtime system |
DocType | ISSN | Citations |
Conference | 1530-1591 | 0 |
PageRank | References | Authors |
0.34 | 18 | 17 |
Name | Order | Citations | PageRank |
---|---|---|---|
Oscar Palomar | 1 | 95 | 15.42 |
Santhosh Kumar Rethinagiri | 2 | 75 | 9.95 |
Gulay Yalcin | 3 | 93 | 8.67 |
Rubén Titos-Gil | 4 | 79 | 10.41 |
Pablo Prieto | 5 | 0 | 0.34 |
Emma Torrella | 6 | 0 | 0.34 |
Osman S. Unsal | 7 | 575 | 55.65 |
Adrián Cristal | 8 | 424 | 40.74 |
Pascal Felber | 9 | 2432 | 178.76 |
Anita Sobe | 10 | 108 | 12.41 |
Yaroslav Hayduk | 11 | 43 | 4.20 |
Mascha Kurpicz | 12 | 37 | 3.05 |
Christof Fetzer | 13 | 2429 | 172.89 |
Thomas Knauth | 14 | 178 | 12.65 |
Malte Schneegaß | 15 | 0 | 0.34 |
J. Struckmeier | 16 | 15 | 5.69 |
Dragomir Milojevic | 17 | 111 | 12.25 |