Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hybrid Fortran: High Productivity GPU Porting Framework Applied to
  Japanese Weather Prediction Model   In this work we use the GPU porting task for the operative Japanese weather
prediction model "ASUCA" as an opportunity to examine productivity issues with
OpenACC when applied to structured grid problems. We then propose "Hybrid
Fortran", an approach that combines the advantages of directive based methods
(no rewrite of existing code necessary) with that of stencil DSLs (memory
layout is abstracted). This gives the ability to define multiple
parallelizations with different granularities in the same code. Without
compromising on performance, this approach enables a major reduction in the
code changes required to achieve a hybrid GPU/CPU parallelization - as
demonstrated with our ASUCA implementation using Hybrid Fortran.

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The categories of this paper are: supr-con
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The categories of this paper are: patt-sol
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
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The categories of this paper are: eess
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The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
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The categories of this paper are: solv-int
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The categories of this paper are: chao-dyn
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The categories of this paper are: math-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: dg-ga
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The categories of this paper are: bayes-an
9
The categories of this paper are: nlin