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At one level, chemists think of collections of molecules as a large defined collection of molecular datafiles which could in principle be distributed on a memory device or published as individual pages on the web.
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wcd has two modes for parallelization: distributed memory on a cluster of workstations, and a shared memory mode for symmetric multiprocessors.
Most companies bundled information about new vehicles on U.S.B. memory sticks distributed on the show floor after their news conferences.
Parallelization has been carried out in a generic way in order to be sufficiently general to serve for different architectures, either based on distributed or on shared memory.
Thus the effects of heterogeneity may be examined, in addition to the effect of a distributed architecture on working memory dynamics and states.
The results are promising, and they open up the scope for further research on NoC-based platforms having novel on-chip interconnects and architectures, and distributed cores and memories on a chip.
The first implementation runs on a shared memory computer, the second one on a distributed memory computer, and the last one is a hybrid implementation executed on a distributed system in which each node is a shared memory multiprocessor.
A distributed memory traffic shaper provisions memory bandwidth on a per-core basis.
Implementation results on shared memory multiprocessors track expected performance well up to 12 processors, and initial performance results on a distributed shared memory machine are presented.
They also allow parallelization on distributed and shared memory parallel architectures.
In considering the literature, the obtained speed-ups on distributed and shared memory computers are found very competitive.
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