At KFA - and in particular enforced by ZAM - supercomputing and parallel processing for computational science based on supercomputer systems, techniques, and algorithms have received high priority since many years. Besides IBM mainframes of latest provenience, at present two supercomputers CRAY X-MP and CRAY Y-MP are installed where the Y-MP is completely dedicated to HLRZ projects in elementary particle physics, solid-state and statistical physics, chemistry and other fields.Primarily, the CRAY supercomputer power has been exploited in the past in the single-processor mode by applying vectorization and optimization techniques to numerical kernels and large applications. However, on the multiprocessor vector-supercomputers CRAY X-MP and Y-M...
The methodology is described for converting a large, long-running applications code that executed on...
The growing gap between sustained and peak performance for full-scale complex scientific application...
Computer simulations using the multi-particle code PARMELA with a three-dimensional point-by-point s...
KFA Jülich is one of the largest big-science research centers in Europe. At KFA, computational scien...
KFA Jülich is one of the largest big-science research centres in Europe; its scientific and engineer...
The investigation of strongly interacting matter and its implications is one of the big challenges i...
Modern supercomputers like CRAY X-MP and CRAY Y-MP achieve their high computing speed by using both ...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to bu...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to bu...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to b...
The standardized-maximalist approach to supercom-puter benchmarking consists in optimizing a standar...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to b...
Abstract—The Cray X1 supercomputer is a distributed shared memory vector multiprocessor, scalable to...
On August 15, 2002 the Department of Energy (DOE) selected the Center for Computational Sciences (C...
In addition to a traditional IBM mainframe and two CRAY supercomputers KFA operates an Intel iPSC/86...
The methodology is described for converting a large, long-running applications code that executed on...
The growing gap between sustained and peak performance for full-scale complex scientific application...
Computer simulations using the multi-particle code PARMELA with a three-dimensional point-by-point s...
KFA Jülich is one of the largest big-science research centers in Europe. At KFA, computational scien...
KFA Jülich is one of the largest big-science research centres in Europe; its scientific and engineer...
The investigation of strongly interacting matter and its implications is one of the big challenges i...
Modern supercomputers like CRAY X-MP and CRAY Y-MP achieve their high computing speed by using both ...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to bu...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to bu...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to b...
The standardized-maximalist approach to supercom-puter benchmarking consists in optimizing a standar...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to b...
Abstract—The Cray X1 supercomputer is a distributed shared memory vector multiprocessor, scalable to...
On August 15, 2002 the Department of Energy (DOE) selected the Center for Computational Sciences (C...
In addition to a traditional IBM mainframe and two CRAY supercomputers KFA operates an Intel iPSC/86...
The methodology is described for converting a large, long-running applications code that executed on...
The growing gap between sustained and peak performance for full-scale complex scientific application...
Computer simulations using the multi-particle code PARMELA with a three-dimensional point-by-point s...