Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Scaling Radio Astronomy Signal Correlation on Heterogeneous
  Supercomputers Using Various Data Distribution Methodologies   Next generation radio telescopes will require orders of magnitude more
computing power to provide a view of the universe with greater sensitivity. In
the initial stages of the signal processing flow of a radio telescope, signal
correlation is one of the largest challenges in terms of handling huge data
throughput and intensive computations. We implemented a GPU cluster based
software correlator with various data distribution models and give a systematic
comparison based on testing results obtained using the Fornax supercomputer. By
analyzing the scalability and throughput of each model, optimal approaches are
identified across a wide range of problem sizes, covering the scale of next
generation telescopes.

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The categories of this paper are: q-alg
18
The categories of this paper are: econ
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The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
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The categories of this paper are: plasm-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
34
The categories of this paper are: chem-ph
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The categories of this paper are: nlin
37
The categories of this paper are: supr-con
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The categories of this paper are: cond-mat
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-lat
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The categories of this paper are: gr-qc