Data Grids have been adopted as the next-generation platform by many scientific communities that need to share, access, transport, process and manage large data collections distri...
Traditional large sparse linear solvers are not suited in a grid computing environment as they require a large amount of synchronization and communication penalizing the performan...
Grids are becoming mission-critical components in research and industry, offering sophisticated solutions in leveraging largescale computing and storage resources. Grid resources ...
Valentin Kravtsov, David Carmeli, Werner Dubitzky,...
Service discovery and its automation are some of the key features that a large scale, open distributed system must provide so that clients and users may take advantage of shared re...
We present a remeshed vortex particle method for incompressible flow simulations on GPUs. The particles are convected in a Lagrangian frame and are periodically reinitialized on a ...