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Pooyan Dadvand

Researcher at Polytechnic University of Catalonia

Publications -  16
Citations -  549

Pooyan Dadvand is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Solver & Finite element method. The author has an hindex of 8, co-authored 16 publications receiving 431 citations.

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An Object-oriented Environment for Developing Finite Element Codes for Multi-disciplinary Applications

TL;DR: The design and implementation of a framework for building multi-disciplinary finite element programs, which contains several tools for the easy implementation of finite element applications and also provides a common platform for the natural interaction of different applications is described.
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Migration of a generic multi-physics framework to HPC environments

TL;DR: In this paper, the authors describe how a relatively complex framework but with modular structure can be prepared for high performance computing with minimum modification, which is achieved thanks to the Kratos design and also innovative way of dealing with data transfers for a multi-disciplinary code.

Migration of a generic multi-physics framework to HPC environments

TL;DR: This presentation explains how a relatively complex framework but with modular structure can be prepared for high performance computing with minimum modification and presents the Telescope problem.
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An efficient edge-based level set finite element method for free surface flow problems

TL;DR: The method is shown to allow an efficient solution of both simple benchmark cases and complex industrial examples and to allow a good parallel performance of the node-based and edge-based approaches.
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OpenCL‐based implementation of an unstructured edge‐based finite element convection‐diffusion solver on graphics hardware

TL;DR: An existing highly optimized parallel OpenMP solver is ported to graphics hardware based on the OpenCL platform and a nonstandard FE approach is applied which leverages an optimized edge‐based data structure allowing a highly parallel implementation.