We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
Disk and network latency must be taken into account when applying parallel computing to large multidimensional datasets because they can hinder performance by reducing the rate at...
Inspired by the attractive Flops/dollar ratio and the incredible growth in the speed of modern graphics processing units (GPUs), we propose to use a cluster of GPUs for high perfo...
Zhe Fan, Feng Qiu, Arie E. Kaufman, Suzanne Yoakum...
Applications such as parallel computing, online games, and content distribution networks need to run on a set of resources with particular network connection characteristics to ge...
As commodity microprocessors and networks reach performance levels comparable to those used in massively parallel processors, clusters of symmetric multiprocessors are starting to...