Abstract— Many of today’s data-intensive applications manipulate disk-resident data sets. As a result, their overall behavior is tightly coupled with their disk performance. Un...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, F...
Portableembeddeddevicesmustpresentlyrunmultimediaandwireless network applications with enormous computational performance requirements at a low energy consumption. In these applica...
David Atienza, Stylianos Mamagkakis, Francky Catth...
A proper understanding of communication patterns of parallel applications is important to optimize application performance and design better communication subsystems. Communicatio...
In this paper we study four approaches to conserving disk energy in high-performance network servers. The first approach is to leverage the extensive work on laptop disks and pow...
Enrique V. Carrera, Eduardo Pinheiro, Ricardo Bian...
As shared-memory multiprocessors become the dominant commodity source of computation, parallelizing compilers must support mainstream computations that manipulate irregular, point...