Numerical models have been used extensively in the last decades to understand and
predict weather phenomena and the climate. In general, models are classified according to …

Because of a growing interest in using XML for massive complex data there has been
considerable research on designing XML compressors. This paper presents our research …

This work discuss the parallel performance of a global numerical simulation model, Ocean-
Land-Atmosphere Model (OLAM), on a hybrid multicore/GPU cluster environment, under the …

Weather forecasts for long periods of time has emerged as increasingly important. The
global concern with the consequences of climate changes has stimulated researches to …

Atmospheric models usually demand high processing power and generate large amounts of
data. As the degree of parallelism grows, the I/O operations may become the major …

ABSTRACT Ocean-Land-Atmosphere Model (OLAM) is a global numerical simulation model
initially developed at Duke University, USA. As it frequently happens in many areas of …

In a variety of contexts, as in multimedia distance learning systems, multimedia analysis
systems or for general information purposes, the task of retrieving appropriate information …