Long lead rainfall prediction is important in the management and operation of water resources and many models have been developed for this purpose. Each of the developed models has its special strengths and weaknesses that must be considered in real time applications. In this paper, eld and General Circulation Models (GCM) data are used with the Statistical Downscaling Model (SDSM) and the Arti...

This paper explores the benefits and limitations of using a inspector/executor approach for Software Distributed Shared Memory (SDSM) systems. The role of the inspector is to obtain a description of the address space accessed during the execution of parallel loops. The information collected by the inspector will enable the runtime to optimize the movement of shared data that will happen during ...

A class of interacting superprocesses arising from branching particle systems with continuous spatial motions, called superprocesses with dependent spatial motion (SDSMs), has been introduced and studied in Wang [26] and Dawson et al. [8]. In this paper, we extend the model to allow discontinuous spatial motions. Under Lipschitz condition for coefficients, we show that under a proper rescaling,...

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...

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...

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...

Software distributed shared-memory (SDSM) provides the abstraction necessary to run shared-memory applications on cost-effective parallel platforms such as clusters of workstations. However, problems such as cluster component reliability and cluster management, which are not directly related to performance, need to be addressed before SDSM solutions can be widely adopted. This paper presents Ra...

Fault-tolerant techniques that can cope with system failures in software distributed shared memory (SDSM) are essential for creating productive and highly available parallel computing environments on clusters of workstations. In this paper, we propose a new, efficient coordinated checkpointing technique, called coherence-based coordinated checkpointing (CCC), for SDSM. Our CCC minimizes both th...

A previous study of random mutations, mostly introduced by error-prone PCR (EPPCR) or DNA shuffling (DS), demonstrated that those closer to the enzyme active site were more effective than distant ones at improving enzyme activity, substrate specificity or enantioselectivity. Since then, many studies have taken advantage of this observation by targeting site-directed saturation mutagenesis (SDSM...