Abstract: An AstroGrid-D project is outlined which consists of grid-enabling the on-demand post-processing of the output data from cosmological simulations, in particular the 25 Terabyte Millenium Simulation run of the Virgo consortium. Up to 105 files with a total size of 0.2 to 1 Terabyte need to be managed in a single post-processing workflow comprising about half a dozen individual stages. The grid-enabled Process Coordinator (ProC) scientific workflow engine shall be used for the design and execution of post-processing workflows. In addition to simulation post-processing, the GADGET-2 simulation code itself shall be invokable on demand. Background The cosmological simulation code GADGET-2 is a new massively parallel TreeSPH code, capab...
Context. Computational astrophysics nowadays routinely combines grid-adaptive capabilities with mode...
Today’s large-scale simulations deal with complex geometries and numerical data on an extreme scale...
The ATLAS experiment is using large High Performance Computers (HPC's) and fine grained simulation w...
We discuss the cosmological simulation code GADGET-2, a new massively parallel TreeSPH code, capable...
We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scienti...
International audienceThe work presented in this paper aims at restricting the input parameter value...
We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scienti...
We present AstroGrid-D, a project bringing together astronomers and experts in Grid technology to en...
Simulations conducted on high-performance, massively parallel mainframes have become a central tool ...
Reservoir simulators are computationally costly and produce diverse, voluminous results. These featu...
AbstractNumerical simulations are an essential component of the study of the nonlinear growth and ev...
(eng) Large problems ranging from numerical simulation can now be solved through the Internet using ...
With the increasing power of current supercomputers, flow field simulations become larger and larger...
We present the newly developed code, GPU-accelerated Adaptive-MEsh-Refinement code (GAMER), which ad...
This contains the simulation data products used in the publication "The global structure of magnetic...
Context. Computational astrophysics nowadays routinely combines grid-adaptive capabilities with mode...
Today’s large-scale simulations deal with complex geometries and numerical data on an extreme scale...
The ATLAS experiment is using large High Performance Computers (HPC's) and fine grained simulation w...
We discuss the cosmological simulation code GADGET-2, a new massively parallel TreeSPH code, capable...
We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scienti...
International audienceThe work presented in this paper aims at restricting the input parameter value...
We present status and results of AstroGrid-D, a joint effort of astrophysicists and computer scienti...
We present AstroGrid-D, a project bringing together astronomers and experts in Grid technology to en...
Simulations conducted on high-performance, massively parallel mainframes have become a central tool ...
Reservoir simulators are computationally costly and produce diverse, voluminous results. These featu...
AbstractNumerical simulations are an essential component of the study of the nonlinear growth and ev...
(eng) Large problems ranging from numerical simulation can now be solved through the Internet using ...
With the increasing power of current supercomputers, flow field simulations become larger and larger...
We present the newly developed code, GPU-accelerated Adaptive-MEsh-Refinement code (GAMER), which ad...
This contains the simulation data products used in the publication "The global structure of magnetic...
Context. Computational astrophysics nowadays routinely combines grid-adaptive capabilities with mode...
Today’s large-scale simulations deal with complex geometries and numerical data on an extreme scale...
The ATLAS experiment is using large High Performance Computers (HPC's) and fine grained simulation w...