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GPU computing has revolutionized HPC by bringing the performance of the supercomputer to the desktop. Attractive price, performance, and power characteristics allow multiple GPUs to be plugged into both desktop machines as well as supercomputer nodes for increased performance. Excellent performance and scalability can be achieved for some problems using(More)
The following report outlines work undertaken for PRACE-2IP. The report will outline the computational methods used to examine petascaling of OpenFOAM on the French Tier-0 system CURIE. The case study used has been provided by the National University of Ireland, Galway (NUIG). The profiling techniques utilised to uncover bottlenecks, specifically in(More)
A large number of computational scientific research projects make use of open source software packages. However, the development process of such tools frequently differs from conventional software development; partly because of the nature of research, where the problems being addressed are not always fully understood; partly because the majority of the(More)
We have developed an application and implemented parallel algorithms in order to provide a computational framework suitable for massively parallel supercomputers to study the unitary dynamics of quantum systems. We use renowned parallel libraries such as PETSc/SLEPc combined with high-performance computing approaches in order to overcome the large memory(More)
INTRODUCTION Recently, the computer industry has moved en masse to parallel architectures. Computing technologies are commonly based on multi-and many-core systems with tens to hundreds of concurrent hardware processing elements on workstations up to many thousands per data servers or super-computer node. This powerful computing capacity represents an(More)
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