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The paper focuses on the development of a numerical code for the computation of basins of attraction by using the parallel programming.
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Molecular Dynamics (MD) simulations were performed using the parallel MD program NAMD 2.6 [ 20] with the CHARMM27 force field [ 21] including φ/ ψ cross-term map corrections [ 22] and the TIP3P model for water [ 23].
We present a novel and efficient multivariate polynomial multiplication algorithm for GPUs using floating-point double precision coefficients implemented using the CUDA parallel programming platform.
when using the parallel version.
In this way, you can see how the method of using a spatial propagation network far outpaces the traditional method, not to mention up to 100x faster through GPUs, using the CUDA parallel programming model.
This is an application programming interface that is used to create the parallel programming tasks, called kernels, which are executed on the GPU.
The split-and-merge method allows us to efficiently use the CUDA parallel programming model, where a multithreaded program is partitioned into blocks of threads that execute independently from each other.
Furthermore, to take advantage of the multiprocessing of each virtual machine, we use the hybrid parallel programming model [ 27].
Graduate student Jason Pitt and CI computational scientist Lorenzo Pesce constructed a computational pipeline called SwiftSeq, which uses the Swift parallel programming language to accelerate analysis.
Although the market of NGS alignment tools is growing, to date, the parallel programming methodologies used to design these tools do not embrace much more than low-level synchronisation primitives, such as mutual exclusion and atomic operations.
The parallel programming is implemented using OpenMP technique.
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