{"id":"https://openalex.org/W2049274121","doi":"https://doi.org/10.1109/hpec.2014.7040960","title":"Synthetic aperture radar imaging on a CUDA-enabled mobile platform","display_name":"Synthetic aperture radar imaging on a CUDA-enabled mobile platform","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2049274121","doi":"https://doi.org/10.1109/hpec.2014.7040960","mag":"2049274121"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2014.7040960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2014.7040960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5079530787","display_name":"Massimiliano Fatica","orcid":"https://orcid.org/0000-0002-5839-1644"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Massimiliano Fatica","raw_affiliation_strings":["NVIDIA Corporation, Santa Clara, CA, USA","Nvidia Corporation,Santa Clara,CA 95050,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Nvidia Corporation,Santa Clara,CA 95050,USA","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006141934","display_name":"Everett Phillips","orcid":null},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Everett Phillips","raw_affiliation_strings":["NVIDIA Corporation, Santa Clara, CA, USA","Nvidia Corporation,Santa Clara,CA 95050,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]},{"raw_affiliation_string":"Nvidia Corporation,Santa Clara,CA 95050,USA","institution_ids":["https://openalex.org/I1304085615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9976999759674072,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.854273796081543},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7993266582489014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956757307052612},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.6137170791625977},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5060142874717712},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5032874941825867},{"id":"https://openalex.org/keywords/inverse-synthetic-aperture-radar","display_name":"Inverse synthetic aperture radar","score":0.4645874798297882},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3663993179798126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.31412267684936523},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.25864261388778687},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1302371621131897},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09636616706848145},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07141673564910889}],"concepts":[{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.854273796081543},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7993266582489014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956757307052612},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.6137170791625977},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5060142874717712},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5032874941825867},{"id":"https://openalex.org/C109094680","wikidata":"https://www.wikidata.org/wiki/Q6060432","display_name":"Inverse synthetic aperture radar","level":4,"score":0.4645874798297882},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3663993179798126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31412267684936523},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.25864261388778687},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1302371621131897},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09636616706848145},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07141673564910889},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec.2014.7040960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2014.7040960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2101280663"],"related_works":["https://openalex.org/W2996630340","https://openalex.org/W2540450177","https://openalex.org/W2170580735","https://openalex.org/W1552305638","https://openalex.org/W2112228652","https://openalex.org/W2613451563","https://openalex.org/W2545123933","https://openalex.org/W1994788526","https://openalex.org/W2547107543","https://openalex.org/W1966299760"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,13,18,55],"details":[4],"of":[5,35],"a":[6],"Synthetic":[7],"Aperture":[8],"Radar":[9],"(SAR)":[10],"imaging":[11],"on":[12],"smallest":[14],"CUDA-capable":[15],"platform":[16],"available,":[17],"Jetson":[19],"TK1.":[20],"The":[21],"results":[22],"indicate":[23],"that":[24],"GPU":[25],"accelerated":[26],"embedded":[27,56],"platforms":[28],"have":[29],"considerable":[30],"potential":[31],"for":[32],"this":[33],"type":[34],"workload":[36],"and":[37,46],"in":[38,54],"conjunction":[39],"with":[40],"low":[41],"power":[42],"consumption,":[43],"light":[44],"weight":[45],"standard":[47],"programming":[48],"tools,":[49],"could":[50],"open":[51],"new":[52],"horizons":[53],"space.":[57]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
