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An overview of the BigDFT code is provided in order to describe why and how the use of GPU can be useful for accelerating the code operations.
This study serves as proof of concept for the use of GPU computing in automotive tasks.
The use of GPU computing in FEA is today an active research field.
Here, we present details of the Cray XK6 architecture that achieves increased performance with the use of GPU accelerators.
These optimizations include the use of GPU acceleration and the exploitation of the mathematical properties of spherical harmonics, which are used as test functions in the moment formulation.
The time-domain algorithms employed for solving the inverse problem of low-frequency tomography focus on the use of GPU clusters.
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The use of GPUs has enabled us to achieve substantial acceleration in highly regular data parallel applications.
The library is able to exploit traditional clusters through MPI, GPU device through CUDA and a first experimentation is aimed to explore the use of GPU-clusters.
Possibilities of the use of GPUs for the simulation of external and internal flows on unstructured meshes are discussed.
The increasing computing power of graphics processing units (GPU) has motivated the use of GPUs to speed up climate models.
Here we explore the use of GPUs within the context of condensed phase molecular dynamics (MD) simulations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com