Multi-scale CLEAN memory utilisation challenges at square kilometre array scale
Deconvolution is a very important tool in radio astronomy, used to remove the point spread function from the image produced by an interferometer. Currently popular convolution algorithms are up to 50 years old and were designed for much smaller instruments than are currently being constructed. At im...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
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IEEE
2024
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| _version_ | 1826313816084840448 |
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| author | Wright, D Adamek, K Armour, W |
| author_facet | Wright, D Adamek, K Armour, W |
| author_sort | Wright, D |
| collection | OXFORD |
| description | Deconvolution is a very important tool in radio astronomy, used to remove the point spread function from the image produced by an interferometer. Currently popular convolution algorithms are up to 50 years old and were designed for much smaller instruments than are currently being constructed. At image sizes proposed for the Square Kilometre Array (SKA), in this paper we show that the com- monly used msCLEAN algorithm developed by Cornwell requires up to 13TB of memory to successfully run. We detail the steps of the msCLEAN algorithm and the incremental memory usage for each. We also propose some memory reduction techniques to improve performance. |
| first_indexed | 2024-09-25T04:20:56Z |
| format | Conference item |
| id | oxford-uuid:b3561808-e8ca-4f89-8cad-625da6def5d6 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:20:56Z |
| publishDate | 2024 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oxford-uuid:b3561808-e8ca-4f89-8cad-625da6def5d62024-08-05T10:10:28ZMulti-scale CLEAN memory utilisation challenges at square kilometre array scaleConference itemhttp://purl.org/coar/resource_type/c_5794uuid:b3561808-e8ca-4f89-8cad-625da6def5d6EnglishSymplectic ElementsIEEE2024Wright, DAdamek, KArmour, WDeconvolution is a very important tool in radio astronomy, used to remove the point spread function from the image produced by an interferometer. Currently popular convolution algorithms are up to 50 years old and were designed for much smaller instruments than are currently being constructed. At image sizes proposed for the Square Kilometre Array (SKA), in this paper we show that the com- monly used msCLEAN algorithm developed by Cornwell requires up to 13TB of memory to successfully run. We detail the steps of the msCLEAN algorithm and the incremental memory usage for each. We also propose some memory reduction techniques to improve performance. |
| spellingShingle | Wright, D Adamek, K Armour, W Multi-scale CLEAN memory utilisation challenges at square kilometre array scale |
| title | Multi-scale CLEAN memory utilisation challenges at square kilometre array scale |
| title_full | Multi-scale CLEAN memory utilisation challenges at square kilometre array scale |
| title_fullStr | Multi-scale CLEAN memory utilisation challenges at square kilometre array scale |
| title_full_unstemmed | Multi-scale CLEAN memory utilisation challenges at square kilometre array scale |
| title_short | Multi-scale CLEAN memory utilisation challenges at square kilometre array scale |
| title_sort | multi scale clean memory utilisation challenges at square kilometre array scale |
| work_keys_str_mv | AT wrightd multiscalecleanmemoryutilisationchallengesatsquarekilometrearrayscale AT adamekk multiscalecleanmemoryutilisationchallengesatsquarekilometrearrayscale AT armourw multiscalecleanmemoryutilisationchallengesatsquarekilometrearrayscale |