Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using the pyMIC Offload Module in PyFR   PyFR is an open-source high-order accurate computational fluid dynamics
solver for unstructured grids. It is designed to efficiently solve the
compressible Navier-Stokes equations on a range of hardware platforms,
including GPUs and CPUs. In this paper we will describe how the Python Offload
Infrastructure for the Intel Many Integrated Core Architecture (pyMIC) was used
to enable PyFR to run with near native performance on the Intel Xeon Phi
coprocessor. We will introduce the architecture of both pyMIC and PyFR and
present a variety of examples showcasing the capabilities of pyMIC. Further, we
will also compare the contrast pyMIC to other approaches including native
execution and OpenCL. The process of adding support for pyMIC into PyFR will be
described in detail. Benchmark results show that for a standard cylinder flow
problem PyFR with pyMIC is able achieve 240 GFLOP/s of sustained double
precision floating point performance; for a 1.85 times improvement over PyFR
with C/OpenMP on a 12 core Intel Xeon E5-2697 v2 CPU.

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The categories of this paper are: q-bio
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The categories of this paper are: quant-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: econ
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-ph
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The categories of this paper are: stat
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The categories of this paper are: ao-sci
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The categories of this paper are: patt-sol
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The categories of this paper are: plasm-ph
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The categories of this paper are: chem-ph