Parallelizing Flood Models with MPI: Approaches and Experiences
نویسندگان
چکیده
Parallelizing large sequential programs is known as a challenging problem. This paper focuses on problems encountered during parallelization process of different flood models and on the approaches used for solving them. The approaches are focused on reducing development time, which can help programmers make a parallel version of existing sequential programs within a short time.
منابع مشابه
Parallelizing Flood Model for Linux Clusters with MPI
This paper focuses on parallelization process of DaveF, a new two-dimensional depth-averaged flow and sediment transport model that allows breach development and the resulting flood wave to be simulated simultaneously. Problems encountered during parallelization and techniques used to solve them are described. The experimental results with different input data on different machines are also inc...
متن کاملProgramming for Malleability with Hybrid MPI-2 and OpenMP – Experiences with a Simulation Program for Global Water Prognosis
This paper reports on our experiences in parallelizing WaterGAP, an originally sequential C++ program for global assessment and prognosis of water availability. The parallel program runs on a heterogeneous SMP cluster and combines different parallel programming paradigms: First, at its outer level, it uses master/slave communication implemented with MPI. Second, within the slave processes, mult...
متن کاملComparing Various Parallelizing Approaches for Tribology
Different parallelization methods vary in their system requirements, programming styles, efficiency of exploring parallelism, and the application characteristics they can handle. For different situations, they can exhibit totally different performance gains. This paper compares OpenMP, MPI, and Strings for parallelizing a complicated tribology problem. The problem size and computing infrastruct...
متن کاملتهیهی نقشه پتانسیل سیل گیری با استفاده از روش‌های تصمیم‌گیری تحلیل سلسله مراتبی و تاپسیس و مدل آماری وزن واقعه (مطالعه موردی: شهرستان جهرم، استان فارس)
Floods are one of the most common natural disasters which causing financial and life losses, yearly. Therefore, to reduce the harmful effects of flood occurrence, it is necessary to prepare vulnerability maps for flood management. The aim of the present study is flood inundation mapping of Jahrom Township, Fars Province using multi-criteria decision making techniques such as AHP and TOPSIS and ...
متن کاملzoning of flood hazard in Nowshahr city using machine learning models
The aim of this study is to predict and model flood hazard in the city of Nowshahr, Mazandaran province using machine learning models. The criteria and indicators affecting flood hazard were identified based on the review of resources, and then the indicators were converted into rasters in ArcGIS environment, and finally standardized by fuzzy method for use in the models. K-nearest neighbor ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004