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We describe CPU and GPU implementations of parallel triangle-counting and k-truss identification in the Galois and IrGL systems. Both systems are based on a graph-centric abstraction called the operator formulation of algorithms. Depending on the input graph, our implementations are two to three orders of magnitude faster than the reference implementations provided by the IEEE HPEC static graph challenge.
We consider the subject of self-binding in static, spherically symmetric objects consisting of a charged fluid. We have shown previously that in the case of a perfect fluid, only the localized part of the mass contributes to gravitational self-binding of such objects and that in the limiting case of objects comprised purely of electromagnetic mass, there is no gravitational binding. Here, we extend...
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