Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Comparing Two Generations of Embedded GPUs Running a Feature Detection
  Algorithm   Graphics processing units (GPUs) in embedded mobile platforms are reaching
performance levels where they may be useful for computer vision applications.
We compare two generations of embedded GPUs for mobile devices when running a
state-of-the-art feature detection algorithm, i.e., Harris-Hessian/FREAK. We
compare architectural differences, execution time, temperature, and frequency
on Sony Xperia Z3 and Sony Xperia XZ mobile devices. Our results indicate that
the performance soon is sufficient for real-time feature detection, the GPUs
have no temperature problems, and support for large work-groups is important.

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The categories of this paper are: solv-int
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The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
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The categories of this paper are: hep-lat
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The categories of this paper are: stat
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The categories of this paper are: acc-phys
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The categories of this paper are: bayes-an
3
The categories of this paper are: physics
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The categories of this paper are: q-alg
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The categories of this paper are: cmp-lg
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The categories of this paper are: nlin
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The categories of this paper are: dg-ga
2
The categories of this paper are: math