As our society becomes more information-driven, we have begun to amass data at an astounding and accelerating rate. At the same time, power concerns have made it difficult to brin...
Adrian M. Caulfield, Laura M. Grupp, Steven Swanso...
In this work we present the results of a project aimed at assembling an hybrid massively parallel machine, the PQE1 prototype, devoted to the simulation of complex physical models...
Paolo Palazzari, Lidia Arcipiani, Massimo Celino, ...
HPL is a parallel Linpack benchmark package widely adopted in massive cluster system performance test. On HPL data layout among processors, a law to determine block size NB theoret...
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...