Supporting the perpetuation and reproducibility of numerical method publications

Procedia Computer Science

Volumn 4, Issue , 2011, Pages 688-696

  Gomes, Antônio T A ^a   Paredes, Diego ^a   Valentin, Frédéric ^a  

^a LABORATÓRIO NACIONAL DE COMPUTAÇÃO CIENTÍFICA   (Brazil)

Author keywords

High performance computing; Numerical methods; Rapid prototyping; Web based review process

Indexed keywords

COMPUTATIONAL ENVIRONMENTS; COMPUTATIONAL SCIENCE; FINITE DIFFERENCE; FINITE ELEMENT; FINITE VOLUME; HIGH-PERFORMANCE COMPUTING; JOURNAL ARTICLES; NUMERICAL PROPERTIES; REPRODUCIBILITIES; WEB-BASED REVIEW PROCESS;

COMPUTER SOFTWARE SELECTION AND EVALUATION; RAPID PROTOTYPING; USER INTERFACES;

NUMERICAL METHODS;

EID: 79958245262     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2011.04.072     Document Type: Conference Paper

References (15)

1. E. Burman, P. Hansbo, Edge stabilization for galerkin approximations of convection-diffusion-reaction problems, Computer Methods in Applied Mechanics and Engineering 193 (15-16) (2004) 1437 - 1453, recent Advances in Stabilized and Multiscale Finite Element Methods. (Pubitemid 38532243)
2. V. John, S. Kaya, W. Layton, A two-level variational multiscale method for convection-dominated convection-diffusion equations, Computer Methods in Applied Mechanics and Engineering 195 (33-36) (2006) 4594 - 4603.
3. L. P. Franca, A. L. Madureira, F. Valentin, Towards multiscale functions: enriching finite element spaces with local but not bubble-like functions, Computer Methods in Applied Mechanics and Engineering 194 (27-29) (2005) 3006 - 3021. (Pubitemid 40621503)
4. J. Sudirham, J. van der Vegt, R. van Damme, Space-time discontinuous galerkin method for advection-diffusion problems on time-dependent domains, Applied Numerical Mathematics 56 (12) (2006) 1491 - 1518. (Pubitemid 44344347)
5. S. F. Midkiff, Rapid prototyping of computing systems, IEEE Pervasive Computing 1 (1) (2002) 14-18.
6. Y.-C. Chou, S. Nestinger, H. Cheng, Ch MPI: Interpretive parallel computing in C, Computing in Science Engineering 12 (2) (2010) 54-67.
7. A. Logg, K. A. Mardal, M. S. Alnaes, H. P. Langtangen, O. Skavhaug, A hybrid approach to efficient finite element code development, in: D. A. Bader (Ed.), Petascale Computing: Algorithms and Applications, Chapman and Hall, 2007, Ch. 19.
8. P. Mell, T. Grance, The NIST Definition of Cloud Computing, Tech. rep., National Institute of Standards and Technology, Information Technology Laboratory (2009). URL http://csrc.nist.gov/groups/SNS/cloud-computing/cloud- def-v15.doc.
9. M. L. Hines, T. Morse, M. Migliore, N. T. Carnevale, G. M. Shepherd, Modeldb: A database to support computational neuroscience, Journal of Computational Neuroscience 17 (2004) 7-11.
10. P. Van Gorp, P. Grefen, Supporting the internet-based evaluation of research software with cloud infrastructure, Software and Systems Modeling (2010) 1-18.
11. L. S. Blackford, J. Demmel, J. Dongarra, I. Duff, S. Hammarling, G. Henry, M. Heroux, L. Kaufman, A. Lumsdaine, A. Petitet, R. Pozo, K. Remington, R. C. Whaley, An updated set of basic linear algebra subprograms (BLAS), ACM Trans. Math. Softw. 28 (2002) 135-151. (Pubitemid 135701673)
12. W. Schroeder, K. Martin, B. Lorensen, Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, 4th Edition, Kitware, 2006.
13. R. Ierusalimschy, L. Henrique, F. Waldemar, C. Filho, Lua - an extensible extension language, Software: Practice and Experience 26 (1996) 635-652. (Pubitemid 126592479)
14. R. Araya, F. Valentin, A multiscale a posteriori error estimate, Comput. Methods Appl. Mech. Engrg. 194 (2005) 2077-2094. (Pubitemid 40367535)
15. A. Ern, J.-L. Guermond, Theory and practice of finite elements, Springer-Verlag, 2004.