**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**30458

##### A Parallel Approach for 3D-Variational Data Assimilation on GPUs in Ocean Circulation Models

**Authors:**
Giuseppe Scotti,
Rossella Arcucci,
Luisa D’Amore,
Simone Celestino,
Giuliano Laccetti

**Abstract:**

**Keywords:**
Data Assimilation,
ocean models,
parallel algorithm,
GPU
architectures

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1105679

**References:**

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[2] L. D’Amore, R. Arcucci, L. Marcellino and A. Murli, HPC computation issues of the incremental 3D variational data assimilation scheme in OceanVar software - Journal of Numerical Analysis, Industrial and Applied Mathematics, vol. 7, no. 3-4, 2012, pp. 91-105.

[3] L. D’Amore, R. Arcucci, L. Marcellino, A. Murli - A Parallel Three-dimensional Variational Data Assimilation Scheme - Numerical Analysis and Applied Mathematics, AIP Conference Proccedings, Vol. 1389, 2011, pp. 1829-1831.

[4] L. D’Amore, R. Arcucci, L. Carracciuolo, A. Murli - DD-OceanVar: a Domain Decomposition fully parallel Data Assimilation software in Mediterranean Sea - Procedia Computer Science 18, 2013, pp. 1235-1244.

[5] L. D’Amore, R. Arcucci, L. Carracciuolo, A. Murli - A Scalable Approach for Variational Data Assimilation - Journal of Scientific Computing, Vol. 61, 2014, pp. 239-257.

[6] L. D’Amore, D. Casaburi, A. Galletti, L. Marcellino, A. Murli - Integration of emerging computer technologies for an efficient image sequences analysis, Vol. 18, (4), 2011, pp. 365-378.

[7] L. D’Amore, A. Murli, V. Boccia, L. Carracciuolo - Insertion of PETSc in the NEMO stack software Driving NEMO towards Exascale Computing, High Performance Computing and Simulation (HPCS), July 2014, pp. 724 - 731, DOI:10.1109/HPCSim.2014.6903761.

[8] L. D’Amore, G. Laccetti, D. Romano, G. Scotti, A. Murli - Towards a parallel component in a GPU-CUDA environment: a case study with the L-BFGS Harwell routine - International Journal of Computer Mathematics, DOI: 10.1080/00207160.2014.899589, 2015, Vol 92 (1), pp. 59-76.

[9] L. D’Amore , D. Casaburi, A. Galletti, L. Marcellino, A. Murli - Integration of emerging computer technologies for an efficient image sequences analysis - Integrated Computer-Aided Engineering, Vol. 18, (4), 2011, pp. 365-378.

[10] S. Dobricic, N. Pinardi, An oceanographic three-dimensional variational data assimilation scheme - Ocean Modelling 22, 2008, pp. 89-105.

[11] S.A. Haben, A.S. Lawless,N.K. Nichols: Conditioning of the 3DVAR Data Assimilation Problem, Mathematics Report 3/2009. Department of Mathematics, University of Reading (2009)

[12] M. Harris - How to Implement Performance Metrics in CUDA C/C++ - November 7 2012, NVIDIA Web Site.

[13] NVIDIA, NVIDIA Compute Unified Device Architecture programming guide version 2.3, NVIDIA Developer Web Site, (2009). Available at http://developer.download.nvidia.com.

[14] NVIDIA, NVIDIA CUDA Programming Guide 3.1.1, 2010.

[15] E. Kalnay - Atmospheric Modeling, Data Assimilation and Predictability. - Cambridge University Press, Cambridge, MA (2003)

[16] Khronos OpenCL Working Group, The OpenCL Specification: Version 797 1.1, 2010.

[17] The NEMO System Home Page - http://www.nemo-ocean.eu

[18] M. Showerman, J. Enos, A. Pant, V. Kindratenko, C. Steffen, R. Pennington, W.M. Hwu - QP: A heterogeneous multi-accelerator cluster - Proceedings of the 10th LCD International Conference on High-Performance Clustered Computing, Boulder, Colorado, 2009.

[19] TOP500 Supercomputer Site. 2014. TOP500 Supercomputer Novermeber 2014 List. http://www.top500.org/lists/2014/11

[20] C. Zhu, R.H. Byrd, P. Lu, and J. Nocedal, Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization, ACM Trans. Math. Softw. 23, 1997, pp. 550-560.