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...

introduction:it is necessary to analyze the limitations and essentials of the medicalstudents’ learning compatible with their future working environment in order tocontrol the quality of the education. this study was designed to investigatethe basics of learning and to prepare educational logbooks for all clinicaldepartments at kurdistan university of medical sciences in line with promotionof e...

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...

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...