In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling precedence-constrained parallel tasks on clusters is challenging because of h...
Ziliang Zong, Adam Manzanares, Brian Stinar, Xiao ...
Gang scheduling is considered to be a highly effective task scheduling policy for distributed systems. In this paper we present a migration scheme which reduces the fragmentation ...
A commonly encountered view of computer conferencing focuses on peer interaction, student empowerment and a shift in both teacher and student roles. This paper argues that this vi...
Ann C. Jones, Eileen Scanlon, Canan Tosunoglu Blak...
It was recently shown that block-circulant preconditioners applied to a conjugate gradient method used to solve structured sparse linear systems arising from 2D or 3D elliptic prob...