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Our parallel implementation of PSPIKE+ based on G-PAVER, PARDISO 5.0.0, and solving the explicit balance system results in impressive robustness and good parallel scalability on computing platforms with a limited number of multi-core nodes.
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Recently, Sarkar, et al. [ 19] implement both of these parallel DP algorithms [ 25, 26] on a Network-on-Chip computing platform [ 27].
Finally, the designed add-on interface and its scalability are validated by implementing the extensible framework on multiple computing platforms and then extending the language with several non-trivial extensions using the designed add-on interface.
To get more results or greater accuracy, computational scientists execute their applications on distributed computing platforms such as clusters, grids, and clouds.
These observation chimes in with other works on scalable computing platforms and models, for instance on sublinear time algorithms [81], or sample-based querying engines [82], which aim to compute accurate results using only a partial view of a system.
The reason why Convergent can sell its switches at so inexpensively is that unlike the legacy Class 5 switches, which are based on proprietary hardware, ATM switches are based on standard computing platforms and semiconductors.
Moreover, the compression algorithms of visual feature heavily rely on software computing platforms, while little work is focused on the physical hardware in pursuit of integrating the compression processing directly.
We have validated the feasibility of our proposal by conducting a case study of a mapping study on cloud software testing, that is, software testing for and on cloud computing platforms.
These properties make it a good choice for image encryption on parallel computing platforms.
It's stripped down, and designed to run better on mobile computing platforms.
"People haven't thought about use cases on new computing platforms," said Laffont.
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