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The Group Scientific code optimisation Modelling basic routines Matrix multiplication Scientific Computing and Parallel Programming Group, University of Murcia Modelling and optimisation of scientific software in multicore Domingo Gim enez

The Group Scientific code optimisation Modelling basic routines Matrix multiplication Scientific Computing and Parallel Programming Group, University of Murcia Modelling and optimisation of scientific software in multicore Domingo Gim´ enez ... and the list of collaborators within the presentation May 2010, University College Dublin
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Contents The Group 1 Scientific code optimisation 2 Modelling basic routines 3 Matrix multiplication 4
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Scientific Computing and Parallel Programming 4 doctors + 5 PhD students, from: Universidad Miguel Hern´ andez de Elche (2+0) Centro de Supercomputaci´ on de Murcia (0+1) University of Murcia (2+2) Universidad Cat´ olica de Murcia (0+1) Universidad Polit´ ecnica de Cartagena (0+1) Information Group page: http://www.um.es/pcgum/ Publications: http://dis.um.es/~domingo/investigacion.html
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.
The Group Scientific code optimisation Modelling basic routines Matrix multiplication Research lines Scientific Computing Mathematical and statistical modelling of scientific problems Development of efficient algorithms to solve these problems Approximated algorithms, metaheuristics Applications of parallelism Parallelism Execution time modelling Optimization and autooptimization based in the model Application to: algorithms, schemes, scientific problems Adaptation to: multicore, supercomputers, heterogeneous... Applications: Simultaneous equation models: stat., paral., metah. Medicine: stat., paral., metah. Computational electromagnetism: paral., metah. Bayesian models: stat., paral. Hydrodynamics: paral. Regional meteorology simulations: paral.

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