Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
Ever more scientists are employing large-scale distributed systems such as grids for their computational work, instead of tightly coupled high-performance computing systems. Howev...
Alexandru Iosup, Omer Ozan Sonmez, Shanny Anoep, D...
Abstract—Introspection is the prerequisite of an autonomic behavior, the first step towards a performance improvement and a resource-usage optimization for largescale distribute...
Alexandra Carpen-Amarie, Jing Cai, Alexandru Costa...
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Portable embedded systems require diligence in managing their energy consumption. Thus, power efficient processors coupled with onchip memories (e.g. caches, scratchpads) are the...
Manish Verma, Klaus Petzold, Lars Wehmeyer, Heiko ...