@article{(Open Science Index):https://publications.waset.org/pdf/10001417,
	  title     = {A Parallel Approach for 3D-Variational Data Assimilation on GPUs in Ocean Circulation Models},
	  author    = {Rossella Arcucci and  Luisa D’Amore and  Simone Celestino and  Giuseppe Scotti and  Giuliano Laccetti},
	  country	= {},
	  institution	= {},
	  abstract     = {This work is the first dowel in a rather wide research
activity in collaboration with Euro Mediterranean Center for Climate
Changes, aimed at introducing scalable approaches in Ocean
Circulation Models. We discuss designing and implementation of
a parallel algorithm for solving the Variational Data Assimilation
(DA) problem on Graphics Processing Units (GPUs). The algorithm
is based on the fully scalable 3DVar DA model, previously proposed
by the authors, which uses a Domain Decomposition approach
(we refer to this model as the DD-DA model). We proceed with
an incremental porting process consisting of 3 distinct stages:
requirements and source code analysis, incremental development of
CUDA kernels, testing and optimization. Experiments confirm the
theoretic performance analysis based on the so-called scale up factor
demonstrating that the DD-DA model can be suitably mapped on
GPU architectures.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {5},
	  year      = {2015},
	  pages     = {1211 - 1217},
	  ee        = {https://publications.waset.org/pdf/10001417},
	  url   	= {https://publications.waset.org/vol/101},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 101, 2015},
	}