The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
Nested loops are the most critical sections in many scientific and Digital Signal Processing (DSP) applications. It is important to study effective and efficient transformation ...
Chun Xue, Zili Shao, Meilin Liu, Edwin Hsing-Mean ...
Commercial server applications remain memory bound on modern multiprocessor systems because of their large data footprints, frequent sharing, complex non-strided access patterns, ...
Thomas F. Wenisch, Michael Ferdman, Anastasia Aila...
LOFAR is the first of a new generation of radio telescopes, that combines the signals from many thousands of simple, fixed antennas, rather than from expensive dishes. Its revol...
John W. Romein, P. Chris Broekema, Ellen van Meije...
In this study, we investigate the task scheduling problem in heterogeneous computing environments and propose a novel scheduling algorithm, called the Artificial Immune System wit...