Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
Commodity symmetric multiprocessors (SMPs), though originally intended for transaction processing, because of their availability, are now used for numerical analysis applications ...
This paper presents preliminary efforts to develop compilation and execution environments that achieve performance portability of multilevel parallelization on hierarchical archit...
Walden Ko, Mark N. Yankelevsky, Dimitrios S. Nikol...
Applications involving large sparse nonsymmetric linear systems encourage parallel implementations of robust iterative solution methods, such as GMRES(k). Two parallel versions of...
Masha Sosonkina, Donald C. S. Allison, Layne T. Wa...
We present a detailed characterization of instruction cache performance for IBM’s J2EE-enabled web server, WebSphere Application Server (WAS). When running two J2EE benchmarks o...
Priya Nagpurkar, Harold W. Cain, Mauricio J. Serra...