Title :
Energy-efficient sorting using solid state disks
Author :
Beckmann, Andreas ; Meyer, Ulrich ; Sanders, Peter ; Singler, Johannes
Author_Institution :
Goethe-Univ. Frankfurt am Main, Frankfurt am Main, Germany
Abstract :
We take sorting of large data sets as case study for making data-intensive applications more energy-efficient. Using a low-power processor, solid state disks, and efficient algorithms, we beat the current records in the JouleSort benchmark for 10 GB to 1 TB of data by factors of up to 5.1. Since we also use parallel processing, this usually comes without a performance penalty.
Keywords :
disc storage; energy conservation; low-power electronics; parallel processing; sorting; JouleSort benchmark; data-intensive application; energy-efficient sorting; large data set sorting; low-power processor; parallel processing; solid state disk; Testing; Weaving; Algorithm Engineering; Energy Efficiency; Intel Atom; JouleSort Benchmark; Power; Solid State Disk; Sort;
Conference_Titel :
Green Computing Conference, 2010 International
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7612-1
DOI :
10.1109/GREENCOMP.2010.5598309
