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Big data pipelines build on automated workflows which are executed in massively parallel applications.
This is because GPUs are capable of executing massively parallel applications.
The dataflow programming model has shown to be a relevant approach to efficiently run massively parallel applications over many-core architectures.
Experimental results on Tianhe-2 supercomputer demonstrate that GS-DMR can achieve a good FT effect for stencil-based computation, and the effect is greatly improved for massively parallel applications, reducing the total FT overhead up to 51%.
These massively parallel applications, running on large compute clouds with thousands of nodes, will drastically change the scale and scope of computational biology, and allow researchers to cheaply perform analyses that are otherwise impossible.
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Additionally we demonstrate that the algorithm is highly efficient for high performance computer architectures and thus offers a route towards massively parallel application.
The adaptation of pyrosequencing technology to massively parallel sequencing further extends the utility, with applications for both prokaryotic and eukaryotic sequencing.
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.
After a brief review of the physics of Anderson localization, we discuss the application of the Cullum Willoughby implementation of the Lanczos diagonalization scheme and the transfer-matrix method to massively parallel cluster architectures.
The advantages of computers reflect in the abilities to massively parallel, distribute computing, and manage.
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.
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