{"id":"https://openalex.org/W2078229902","doi":"https://doi.org/10.1145/2304576.2304620","title":"An efficient work-distribution strategy for gridding radio-telescope data on GPUs","display_name":"An efficient work-distribution strategy for gridding radio-telescope data on GPUs","publication_year":2012,"publication_date":"2012-06-25","ids":{"openalex":"https://openalex.org/W2078229902","doi":"https://doi.org/10.1145/2304576.2304620","mag":"2078229902"},"language":"en","primary_location":{"id":"doi:10.1145/2304576.2304620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2304576.2304620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Supercomputing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044994995","display_name":"John W. Romein","orcid":"https://orcid.org/0000-0002-1915-5067"},"institutions":[{"id":"https://openalex.org/I922237871","display_name":"Netherlands Institute for Radio Astronomy","ror":"https://ror.org/000k1q888","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800991832","https://openalex.org/I922237871"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"John W. Romein","raw_affiliation_strings":["Netherlands Institute for Radio Astronomy (ASTRON), Dwingeloo, Netherlands","Netherlands Institute for Radio Astronomy (ASTRON), Dwingeloo, Netherlands#TAB#"],"affiliations":[{"raw_affiliation_string":"Netherlands Institute for Radio Astronomy (ASTRON), Dwingeloo, Netherlands","institution_ids":["https://openalex.org/I922237871"]},{"raw_affiliation_string":"Netherlands Institute for Radio Astronomy (ASTRON), Dwingeloo, Netherlands#TAB#","institution_ids":["https://openalex.org/I922237871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044994995"],"corresponding_institution_ids":["https://openalex.org/I922237871"],"apc_list":null,"apc_paid":null,"fwci":1.4271,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.82318214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12450","display_name":"Radio Astronomy Observations and Technology","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11946","display_name":"Antenna Design and Optimization","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10818","display_name":"Astrophysics and Cosmic Phenomena","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8462849259376526},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.721432089805603},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5877915024757385},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5847184062004089},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.5289891958236694},{"id":"https://openalex.org/keywords/telescope","display_name":"Telescope","score":0.44457677006721497},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4301983118057251},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4171590209007263},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22440031170845032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15063533186912537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1377895474433899},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07384493947029114},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07117408514022827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8462849259376526},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.721432089805603},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5877915024757385},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5847184062004089},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5289891958236694},{"id":"https://openalex.org/C2780848835","wikidata":"https://www.wikidata.org/wiki/Q4213","display_name":"Telescope","level":2,"score":0.44457677006721497},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4301983118057251},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4171590209007263},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22440031170845032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15063533186912537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1377895474433899},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07384493947029114},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07117408514022827},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2304576.2304620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2304576.2304620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Supercomputing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.296.2744","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.2744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.astron.nl/~romein/papers/ICS-12/gridding.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W31392012","https://openalex.org/W149717662","https://openalex.org/W2086335525","https://openalex.org/W2126734610","https://openalex.org/W2132027201","https://openalex.org/W2138093760","https://openalex.org/W2189948602","https://openalex.org/W3009288059"],"related_works":["https://openalex.org/W4399354997","https://openalex.org/W3062287","https://openalex.org/W2380390332","https://openalex.org/W2742145873","https://openalex.org/W2023572661","https://openalex.org/W4245975140","https://openalex.org/W2532592438","https://openalex.org/W1977763331","https://openalex.org/W2062253548","https://openalex.org/W4225414539"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,15,26,87,106,118],"novel":[4],"work-distribution":[5,31],"strategy":[6,34,58],"for":[7,75],"GPUs,":[8,91,110],"that":[9,56,94],"efficiently":[10],"convolves":[11],"radio-telescope":[12],"data":[13],"onto":[14],"grid,":[16],"one":[17],"of":[18,38,62,109],"the":[19,36,44,57],"most":[20],"time-consuming":[21],"processing":[22],"steps":[23],"to":[24,121],"create":[25],"sky":[27],"image.":[28],"Unlike":[29],"existing":[30,66],"strategies,":[32],"this":[33],"keeps":[35],"number":[37],"device-memory":[39],"accesses":[40],"low,":[41],"without":[42],"incurring":[43],"overhead":[45],"from":[46],"sorting":[47],"or":[48],"searching":[49],"within":[50],"telescope":[51],"data.":[52],"Performance":[53],"measurements":[54],"show":[55,93],"is":[59,98],"an":[60],"order":[61],"magnitude":[63],"faster":[64],"than":[65],"accelerator-based":[67],"gridders.":[68],"We":[69],"compare":[70],"CUDA":[71],"and":[72,92],"OpenCL":[73],"performance":[74],"multiple":[76],"platforms.":[77],"Also,":[78],"we":[79,103],"report":[80],"very":[81],"good":[82],"multi-GPU":[83],"scaling":[84],"properties":[85],"on":[86],"system":[88],"with":[89],"eight":[90],"our":[95],"prototype":[96],"implementation":[97],"highly":[99],"energy":[100],"efficient.":[101],"Finally,":[102],"describe":[104],"how":[105],"unique":[107],"property":[108],"fast":[111],"texture":[112],"interpolation,":[113],"can":[114],"be":[115],"used":[116],"as":[117],"potential":[119],"way":[120],"improve":[122],"image":[123],"quality.":[124]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
