کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4964292 1447803 2017 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Atlas : A library for numerical weather prediction and climate modelling
ترجمه فارسی عنوان
اطلس: کتابخانه ای برای پیش بینی آب و هوا و مدل سازی آب و هوا
کلمات کلیدی
پیش بینی آب و هوا عددی، آب و هوا، سیستم زمین، محاسبات با کارایی بالا، هواشناسی، ساختار داده های مش انعطاف پذیر،
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
چکیده انگلیسی

The algorithms underlying numerical weather prediction (NWP) and climate models that have been developed in the past few decades face an increasing challenge caused by the paradigm shift imposed by hardware vendors towards more energy-efficient devices. In order to provide a sustainable path to exascale High Performance Computing (HPC), applications become increasingly restricted by energy consumption. As a result, the emerging diverse and complex hardware solutions have a large impact on the programming models traditionally used in NWP software, triggering a rethink of design choices for future massively parallel software frameworks. In this paper, we present Atlas, a new software library that is currently being developed at the European Centre for Medium-Range Weather Forecasts (ECMWF), with the scope of handling data structures required for NWP applications in a flexible and massively parallel way. Atlas provides a versatile framework for the future development of efficient NWP and climate applications on emerging HPC architectures. The applications range from full Earth system models, to specific tools required for post-processing weather forecast products. The Atlas library thus constitutes a step towards affordable exascale high-performance simulations by providing the necessary abstractions that facilitate the application in heterogeneous HPC environments by promoting the co-design of NWP algorithms with the underlying hardware.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Physics Communications - Volume 220, November 2017, Pages 188-204
نویسندگان
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