For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Using off-the-shelf commodity workstations to build a cluster for parallel computing has become a common practice. In studying or designing a cluster of workstations one should ha...
Users perceive varying levels of utility for each different job completed by the cluster. Therefore, there is a need for existing cluster Resource Management Systems (RMS) to prov...
Abstract. We describe how the ASSIST parallel programming environment can be used to run parallel programs on collections of heterogeneous workstations and evaluate the scalability...
Marco Aldinucci, Sonia Campa, Massimo Coppola, Sil...
Distributed Shared Memory (DSM) combines the scalability of loosely coupled multicomputer systems with the ease of usability of tightly coupled multiprocessors, and allows transpa...
M. Rasit Eskicioglu, T. Anthony Marsland, Weiwu Hu...