Background: MapReduce is a parallel framework that has been used effectively to design largescale parallel applications for large computing clusters. In this paper, we evaluate th...
Over the last 2-3 years, the importance of data-intensive computing has increasingly been recognized, closely coupled with the emergence and popularity of map-reduce for developin...
We present a comprehensive methodology for the electrodynamic modeling of substrate noise coupling. A new and efficient method is introduced for the calculation of the Green'...
Hongmei Li, Jorge Carballido, Harry H. Yu, Vladimi...
The design of multi-dimensional systems using hardware/software codesign allows a significant improvement in the development cycle. This paper presents a technique that enables a ...
Michael Sheliga, Nelson L. Passos, Edwin Hsing-Mea...
While clusters of commodity servers and switches are the most popular form of large-scale parallel computers, many programs are not easily parallelized for execution upon them. In...
Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, Davi...