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Shao, Z. et al. Refactoring the silent spectinabilin gene cluster using a plug-and-play scaffold.
The newly developed technologies of HPC (e.g. multi-core CPUs and GPUs) can be easily integrated into a cluster using a modular concept.
An algorithm is presented for computing the forces on atoms in a free cluster using a massively parallel computer with processing elements connected in a square grid.
Most solutions distribute keys for data evenly around a data cluster using a hash rank, which while normally efficient puts data from the same time range across large swaths of nodes, making accessing ranges a high-load operation.
Otherwise, because we form the cluster using a maximum number of shared channels, we reduce the chance of reclustering due to channel occupancy by PUs.
The cluster node expansion and cluster edge expansion measures have been considered in [24] for growing a cluster using a derived cluster node expansion capability measure.
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Then, each process finds a partner within the cluster using an exclusive or operation on its rank (line 15).
A bright display in the middle of the main instrument cluster uses a cutting-edge OLED (organic light-emitting diode) screen.
Genomic DNA was extracted from cell clusters using a DNeasy Blood & Tissue Kit (Qiagen).
PCA will be used to identify clusters using a database of bridge images.
TSC aggregates transition states from all demonstrations into clusters using a hierarchical Dirichlet Process Gaussian Mixture Model in two phases, first over states and then temporally.
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