Despite their clear advantage in scalability, twodimensional data distributions are not efficiently supported by current software distributed shared memory (SDSM) systems. This is because sharing between nodes occurs on both columns and rows. Sharing in two dimensions is not a good match for SDSM systems, because either a rowor columnmajor data layout of pages leads to (1) severe thrashing, if ...

General Circulation Models (GCMs) suggest that rising concentrations of greenhouse gases will have significant implications for climate at global and regional scales. Less certain is the extent to which meteorological processes at individual sites will be affected. So-called ‘downscaling’ techniques are used to bridge the spatial and temporal resolution gaps between what climate modellers are c...

Forecasting the effects of climate change on climatic Miahne-city using models (SDSM)

In the existing Fault-Tolerant Software Distributed Shared Memory (FT-SDSM) with the message logging, the logs are used only to recover the failed nodes. In our previous work, we have implemented a lightweight logging protocol, called remote logging, on the SDSM for fault tolerance, which incurs low logging overhead with a fast network and a remote memory for back-up data. In this paper, we pro...

The impact of climate change on soil temperatures at Kuujjuaq, Quebec in northern Canada is assessed. First, long-term historical temperature records (1967–1995) are statistically analyzed to provide a climatological baseline for soils 5 150 cm depths. Next, the nature relationship between atmospheric variables and determined using statistical downscaling model (SDSM) National Centers Environme...

Abstract Global efforts to upgrade water, drainage, and sanitation services are hampered by hydrometeorological data-scarcity plus uncertainty about climate change. Intensity–duration–frequency (IDF) tables used routinely design water infrastructure so offer an entry point for adapting engineering standards. This paper begins with a novel procedure guiding downscaling predictor variable selecti...

introduction linking resolution global climate models to local scale as a micro climatic process is a significant issue. recently, attempts have been made by the climatology scientists to develop dynamics and statistical downscaling methods to express climate change at a local and regional scale. two general techniques are been used for downscaling of the output of general circulation models (g...

A class of interacting superprocesses, called superprocesses with dependent spatial motion (SDSMs), has been introduced and characterized in Wang [22] and Dawson et al. [7]. In this paper, we give a construction or an excursion representation of the non-degenerate SDSM with immigration by making use of a Poisson system associated with the conditional excursion laws of the SDSM. As pointed out i...

Distributing data is one of the key problems in implementing efficient distributed-memory parallel programs. The problem is especially difficult in programs where (1) data redistribution between computational phases is considered or (2) the participating processors (nodes) executing a parallel application are not dedicated. In either case, the commonly used BLOCK and CYCLIC distributions no lon...