It brings together code, data, results and the computing environment used to execute them in a self-contained 'compute capsule' that replicates the author's computational configuration.
The computational configuration is a temporally-developing reacting mixing layer laden with close to 17 × 106 inert evaporating droplets.
The computational configuration corresponds to a constant volume combustion vessel with inert mass source terms added to the governing equations to mimic the pressure rise due to piston motion, as present in practical engines.
To verify our methodology, we have tested the computational configuration on magnetic resonance images of cardiac blood and proved that the theory of magnetic resonance fluid motion estimation can be applicable practically.
Fig. 4 Pipeline scaling properties: time (in s) required for the sinogram generation (circle) and tomographic reconstruction (triangle) as a function of the number of used cores for 2 different computational resource configurations [used cores homogenously distributed on all available nodes (dashed line) and used cores concentrated on as few nodes as possible (solid line)].
We organize the job execution times of the experiments, presenting them graphically as a function of: Grid configuration, region and ensemble member; Region, ensemble member and HPC cluster, per grid configuration; The number of jobs processed by each computational grid configuration and HPC cluster.
We conducted three climatology experiments, each one using a computational grid configuration with a different grid middleware (OurGrid, OAR/CiGri and Globus).
Looking at the number of jobs performed by each HPC cluster and the data transfer experiment, we discuss the influence of the RNP network, cluster locality and failures for each computational grid configuration.
Open image in new window Fig. 9 Computational domain configuration 4. For all transport equations a second-order upwind scheme was chosen for the spatial discretization of the solution.
Based on the distributed fuzzy models, fuzziness of interactions during the collaborative and distributed design for configuration, a computational approach for product configuration is developed.
