General circulation models (GCMs) run at regional resolution or a continental scale. Therefore, these results cannot be used directly for local temperatures and precipitation prediction. Downscaling techniques are required to calibrate GCMs. Statistical downscaling (SDSM) the most widely bias correction of However, few studies have compared SDSM with multi-layer perceptron artificial neural net...

Software distributed shared memory (SDSM) systems traditionally exhibit poor performance on applications with significant fine-grain or false sharing. Techniques such as relaxedconsistency models and multiple -writers protocols improve the performance of SDSM systems significantly, but their performance still lags that of hardware shared memory implementations. This paper describes Delphi, a sy...

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...

Achieving an appropriate workload distribution is essential if user applications are to achieve a satisfactory performance on software distributed shared memory (SDSM) clusters. To address this problem, the present study develops a novel method for distributing program threads onto the individual computers of SDSM clusters. In contrast to alternative methods, the proposed approach takes account...

این پژوهش با الهام گرفتن از نتایج یک طرح مطالعاتی کاربردی، رویکرد سلسله­‌مراتبی جهت پیگیری فرایند توسعه تأمین‌کنندگان و حمایت تصمیمات موجود در هر مراحل آن ارائه‌ می‌کند. ابتدا، زمینه‌های تأمین نیازمند سپس واجد شرایط هریک زمینه‌ها به کمک تصمیم‌گیری چندشاخصه بهترین-بدترین مشخص می‌گردند. معیارهای شناسایی نیز مرور مطالعات پیشین بهره‌گیری نظرات خبرگان حوزه‌ی خرید استخراج‌شده‌اند. درنهایت، مدل ریاضی ...