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It propels us into the absurd belief that this partitioning is natural and necessary and must overwhelm all other ways of identifying people.
Adjacent subblock partitioning is assumed.
DAG Partitioning is NP-hard.
Accordingly, this partitioning is not addressed further.
Data partitioning is a commonly used technique for improving scalability.
The static resource partitioning is based on the following considerations.
Slip partitioning is observed at a variety of scales.
The broadest partitioning is the typical hardware/software partitions.
The mathematical formulation of scalable workload-driven partitioning is described.
With anisotropic elasticity and with nonlinearities, the partitioning is unequal.
Equivalence set partitioning is done using a clustering algorithm for symmetry invariant properties.
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