RealityGrid has thus provided a highly flexible and robust computing infrastructure for supporting the modelling of complex condensed matter systems, including life science. The opportunity to exploit exceptionally vast high performance computing resources linked via grid infrastructure, coupled to novel methodological paradigms through steering and visualisation together with use of scalable algorithms, has led to important scientific results, which would otherwise not have been possible within the project’s lifetime
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Kačeniauskas, Arnas; Kačianauskas, Rimantas; Maknickas, Algirdas; Markauskas, Darius: Computation and visualization of discrete particle systems on gLite-based grid (2011)
- McGough, A.Stephen; Cohen, Jeremy; Darlington, John; Katsiri, Eleftheria; Lee, William; Panagiotidi, Sofia; Patel, Yash: An end-to-end workflow pipeline for large-scale grid computing (2006) ioport
- Harting, Jens; Venturoli, Maddalena; Coveney, Peter V.: Large-scale grid-enabled lattice Boltzmann simulations of complex fluid flow in porous media and under shear (2004)
Further publications can be found at: http://www.realitygrid.org/publications.shtml