Distributed shared memory (DSM) systems have become popular as a means of utilizing clusters of computers for solving large applications. We have developed a high-performance DSM,...
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
PODOS is a performance oriented distributed operating system being developed to harness the performance capabilities of a cluster-computing environment. In order to address the gr...
Sudharshan Vazhkudai, Jeelani Syed, P. Tobin Magin...
It is considered the minimum sum-of-squares clustering problem. The mathematical modeling of this problem leads to a min − sum − min formulation which, in addition to its intr...
Clock skew scheduling has been effectively used to reduce the clock period of sequential circuits. However, this technique may become impractical if a different skew must be appli...