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We close by describing the application of the package to a simple branch-and-bound method for mixed integer programming, along with computational results on the ASCI Red massively parallel computer.
Another problem that occurs during computation on a massively parallel computer is that the spectral transform method requires extensive data movement between computer nodes.
By exploiting the generic iterative structure of this broad class of economic problems, we propose a parallelization scheme that favors hybrid massively parallel computer architectures.
This scheme can be efficiently parallelized and has been implemented on a distributed-memory, massively parallel computer, CM-5.
Predictive computer simulations of highly resolved large-scale 3D deflagrations and detonations are dependent on a robust reaction model embedded in a computational framework capable of running on massively parallel computer architectures.
The framework is based on our Cubism library which enables the efficient treatment of high-order compact stencil schemes that can harness the capabilities of massively parallel computer architectures and allows for processing up to 1013 computational cells.
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One of the cases is also identified as a computer performance/algorithm efficiency benchmark for assessing the performance of algorithms adapted to massively parallel computers.
The construction of the base functions is fully decoupled from element to element; thus, the method is perfectly parallel and is naturally adapted to massively parallel computers.
To accommodate these performance demanding applications, the digital processing architectures will evolve from current system-on-chips to massively parallel computers consisting of heterogeneous subsystems connected by a network-on-chip.
The ever-increasing computational power that is becoming available through massively parallel computers is making such simulation realizable.
A method for computing the numerical solution of Vlasov type equations on massively parallel computers is presented.
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