کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4968299 | 1449571 | 2016 | 47 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Approaching parallel computing to simulating population dynamics in demography
ترجمه فارسی عنوان
نزدیک شدن به محاسبات موازی برای شبیه سازی پویایی جمعیت در جمعیت شناسی
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
شبیه سازی مبتنی بر عامل، ابزار شبیه سازی جمعیت شناسی، دینامیک جمعیت، محاسبات با کارایی بالا، شفافیت،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Agent-based modelling and simulation is a promising methodology that can be applied in the study of population dynamics. The main advantage of this technique is that it allows representing the particularities of the individuals that are modeled along with the interactions that take place among them and their environment. Hence, classical numerical simulation approaches are less adequate for reproducing complex dynamics. Nowadays, there is a rise of interest on using distributed computing to perform large-scale simulation of social systems. However, the inherent complexity of this type of applications is challenging and requires the study of possible solutions from the parallel computing perspective (e.g., how to deal with fine grain or irregular workload). In this paper, we discuss the particularities of simulating populating dynamics by using parallel discrete event simulation methodologies. To illustrate our approach, we present a possible solution to make transparent the use of parallel simulation for modeling demographic systems: Yades tool. In Yades, modelers can easily define models that describe different demographic processes with a web user interface and transparently run them on any computer architecture environment thanks to its demographic simulation library and code generator. Therefore, transparency is provided by two means: the provision of a web user interface where modelers and policy makers can specify their agent-based models with the tools they are familiar with, and the automatic generation of the simulation code that can be executed in any platform (cluster or supercomputer). A study is conducted to evaluate the performance of our solution in a High Performance Computing environment. The main benefit of this outline is that our findings can be generalized to problems with similar characteristics to our demographic simulation model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Parallel Computing - Volume 59, November 2016, Pages 151-170
Journal: Parallel Computing - Volume 59, November 2016, Pages 151-170
نویسندگان
Cristina Montañola-Sales, Bhakti S.S. Onggo, Josep Casanovas-Garcia, Jose MarÃa Cela-EspÃn, Adriana Kaplan-Marcusán,