{"id":"https://openalex.org/W2057266887","doi":"https://doi.org/10.1109/icip.2012.6467202","title":"GPU acceleration of image convolution using spatially-varying kernel","display_name":"GPU acceleration of image convolution using spatially-varying kernel","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2057266887","doi":"https://doi.org/10.1109/icip.2012.6467202","mag":"2057266887"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6467202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1209.5823","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110290368","display_name":"Steven Hartung","orcid":null},"institutions":[{"id":"https://openalex.org/I86467917","display_name":"James Cook University","ror":"https://ror.org/04gsp2c11","country_code":"AU","type":"education","lineage":["https://openalex.org/I86467917"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Steven Hartung","raw_affiliation_strings":["Centre for Astronomy, James Cook University, Townsville, Australia","Centre for Astron., James Cook Univ., Townsville, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Astronomy, James Cook University, Townsville, Australia","institution_ids":["https://openalex.org/I86467917"]},{"raw_affiliation_string":"Centre for Astron., James Cook Univ., Townsville, QLD, Australia","institution_ids":["https://openalex.org/I86467917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031462011","display_name":"Hemant Shukla","orcid":null},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hemant Shukla","raw_affiliation_strings":["Lawrence Berkeley National Laboratory, Berkeley, CA, USA","Lawrence Berkeley National Lab, Berkeley, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]},{"raw_affiliation_string":"Lawrence Berkeley National Lab, Berkeley, CA, USA#TAB#","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104152646","display_name":"James Miller","orcid":null},"institutions":[{"id":"https://openalex.org/I198366374","display_name":"Hardin\u2013Simmons University","ror":"https://ror.org/03ff06b47","country_code":"US","type":"education","lineage":["https://openalex.org/I198366374"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Patrick Miller","raw_affiliation_strings":["Department of Mathematics, Hardin-Simmons University, Abilene, TX, USA","Dept. of Math., Hardin-Simmons Univ., Abilene, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hardin-Simmons University, Abilene, TX, USA","institution_ids":["https://openalex.org/I198366374"]},{"raw_affiliation_string":"Dept. of Math., Hardin-Simmons Univ., Abilene, TX, USA","institution_ids":["https://openalex.org/I198366374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109685286","display_name":"C. R. Pennypacker","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlton Pennypacker","raw_affiliation_strings":["Space Sciences Laboratory, University of California,\u00a0Berkeley, CA, USA","Space Sci. Lab., Univ. of California at Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Sciences Laboratory, University of California,\u00a0Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Space Sci. Lab., Univ. of California at Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1685","last_page":"1688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.9975000023841858,"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/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.9975000023841858,"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/T10039","display_name":"Stellar, planetary, and galactic studies","score":0.9957000017166138,"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/T11484","display_name":"Adaptive optics and wavefront sensing","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/kernel","display_name":"Kernel (algebra)","score":0.7356568574905396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7121021747589111},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5640970468521118},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5636631846427917},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.5129613280296326},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.4902499318122864},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.4179680347442627},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.39900797605514526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33315205574035645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31487005949020386},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18581655621528625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1407168209552765},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08050799369812012}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7356568574905396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121021747589111},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5640970468521118},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5636631846427917},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.5129613280296326},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.4902499318122864},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.4179680347442627},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.39900797605514526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33315205574035645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31487005949020386},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18581655621528625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1407168209552765},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08050799369812012},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2012.6467202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6467202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1209.5823","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1209.5823","pdf_url":"https://arxiv.org/pdf/1209.5823","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1209.5823","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1209.5823","pdf_url":"https://arxiv.org/pdf/1209.5823","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2023016496","https://openalex.org/W2023502387","https://openalex.org/W2029990369","https://openalex.org/W2063252699","https://openalex.org/W2068228723","https://openalex.org/W2084398295","https://openalex.org/W2150606860","https://openalex.org/W2157917411","https://openalex.org/W2998017517","https://openalex.org/W3092469933","https://openalex.org/W3104062568","https://openalex.org/W3105184766","https://openalex.org/W6772693781","https://openalex.org/W6784134181"],"related_works":["https://openalex.org/W2076165488","https://openalex.org/W3189307731","https://openalex.org/W3034421924","https://openalex.org/W2949962288","https://openalex.org/W2982536526","https://openalex.org/W4386858688","https://openalex.org/W2364686214","https://openalex.org/W1428699136","https://openalex.org/W4380302312","https://openalex.org/W3008689640"],"abstract_inverted_index":{"Image":[0],"subtraction":[1],"in":[2,103],"astronomy":[3],"is":[4,37,44,53],"a":[5,34,45,117,122,136],"tool":[6],"for":[7,41],"transient":[8],"object":[9],"discovery":[10],"such":[11],"as":[12],"asteroids,":[13],"extra-solar":[14],"planets":[15],"and":[16,77,107,121,138,146],"supernovae.":[17],"To":[18],"match":[19],"point":[20],"spread":[21],"functions":[22],"(PSFs)":[23],"between":[24],"images":[25,43],"of":[26,94,97,119,124],"the":[27,74,98,127,133],"same":[28],"field":[29],"taken":[30],"at":[31,62],"different":[32],"times":[33],"convolution":[35,102],"technique":[36],"used.":[38],"Particularly":[39],"suitable":[40],"large-scale":[42],"computationally":[46],"intensive":[47],"spatially-varying":[48,67,99],"kernel.":[49],"The":[50,66],"underlying":[51],"algorithm":[52],"inherently":[54],"massively":[55],"parallel":[56],"due":[57],"to":[58,83,142],"unique":[59],"kernel":[60,68,100],"generation":[61],"every":[63],"pixel":[64],"location.":[65],"cannot":[69],"be":[70],"efficiently":[71],"computed":[72],"through":[73],"Convolution":[75],"Theorem,":[76],"thus":[78],"does":[79],"not":[80],"lend":[81],"itself":[82],"acceleration":[84],"by":[85],"Fast":[86],"Fourier":[87],"Transform":[88],"(FFT).":[89],"This":[90],"work":[91],"presents":[92],"results":[93],"accelerated":[95],"implementation":[96],"image":[101,144],"multi-cores":[104],"with":[105],"OpenMP":[106],"graphic":[108],"processing":[109],"units":[110],"(GPUs).":[111],"Typical":[112],"speedups":[113],"over":[114,126],"ANSI-C":[115],"were":[116],"factor":[118,123],"50":[120],"1000":[125],"initial":[128],"IDL":[129],"implementation,":[130],"demonstrating":[131],"that":[132],"techniques":[134],"are":[135],"practical":[137],"high":[139],"impact":[140],"path":[141],"terabyte-per-night":[143],"pipelines":[145],"petascale":[147],"processing.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}