Both VIIRS and MODIS instruments use solar diffuser (SD) and lunar observations to calibrate their reflective solar bands (RSB). A solar diffuser stability monitor (SDSM) is used to track the SD on-orbit degradation. On-orbit observations have shown similar wavelength-dependent SD degradation (larger at shorter VIS wavelengths) and SDSM detector response degradation (larger at longer NIR wavele...

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 ...

In this paper we present a new dynamic, cache coherence protocol for Software Distributed Shared Memory (SDSM) systems that adopt the scope-consistency model[7]. We initially outline our basic protocol, called Reduced Message Protocol (RMP), and then propose two enhancements: the Multiple Home RMP (RMP-MH) and the Lock Migration RMP (RMP-LM). The experimentation we conducted with the proposed p...

In this paper we present a novel approach (SDSM) that incorporates structure in distributional semantics. SDSM represents meaning as relation specific distributions over syntactic neighborhoods. We empirically show that the model can effectively represent the semantics of single words and provides significant advantages when dealing with phrasal units that involve word composition. In particula...

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...

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...

This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial regression (EPR) technique for downscaling numerical weather ensemble forecasts generated by a medium range forecast (MRF) model. 5 Given the coarse resolution (about 200-km grid spacing) of the MR...

Clusters of workstations provide a cost-effective, high performance parallel computing environment. These environments, however, are often shared by multiple users, or may consist of heterogeneous machines. As a result, parallel applications executing in these environments must operate despite unequal computational resources. For maximum performance, applications should automatically adapt exec...