{"id":"https://openalex.org/W2772878812","doi":"https://doi.org/10.1109/ictc.2017.8190987","title":"Linear time complexity GF(256) RaptorQ implementation on GPU","display_name":"Linear time complexity GF(256) RaptorQ implementation on GPU","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772878812","doi":"https://doi.org/10.1109/ictc.2017.8190987","mag":"2772878812"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2017.8190987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2017.8190987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5003519867","display_name":"Sunwoong Joo","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sunwoong Joo","raw_affiliation_strings":["Visual Display Division, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea"],"affiliations":[{"raw_affiliation_string":"Visual Display Division, Samsung Electronics, Suwon-si, Gyeonggi-do, Korea","institution_ids":["https://openalex.org/I2250650973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003519867"],"corresponding_institution_ids":["https://openalex.org/I2250650973"],"apc_list":null,"apc_paid":null,"fwci":0.2072,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58899126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11130","display_name":"Coding theory and cryptography","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.7834081053733826},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7286384105682373},{"id":"https://openalex.org/keywords/fountain-code","display_name":"Fountain code","score":0.6604222059249878},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.5736501812934875},{"id":"https://openalex.org/keywords/finite-field","display_name":"Finite field","score":0.5621652007102966},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.546271562576294},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.544130802154541},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5427865982055664},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.49848389625549316},{"id":"https://openalex.org/keywords/gaussian-elimination","display_name":"Gaussian elimination","score":0.4915564954280853},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.4706907570362091},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4292263388633728},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41539692878723145},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3835914731025696},{"id":"https://openalex.org/keywords/linear-code","display_name":"Linear code","score":0.31730395555496216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14855647087097168},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.11805015802383423},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09771192073822021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7834081053733826},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7286384105682373},{"id":"https://openalex.org/C76132124","wikidata":"https://www.wikidata.org/wiki/Q5474786","display_name":"Fountain code","level":5,"score":0.6604222059249878},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.5736501812934875},{"id":"https://openalex.org/C77926391","wikidata":"https://www.wikidata.org/wiki/Q603880","display_name":"Finite field","level":2,"score":0.5621652007102966},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.546271562576294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.544130802154541},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5427865982055664},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.49848389625549316},{"id":"https://openalex.org/C126312332","wikidata":"https://www.wikidata.org/wiki/Q2658","display_name":"Gaussian elimination","level":3,"score":0.4915564954280853},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.4706907570362091},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4292263388633728},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41539692878723145},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3835914731025696},{"id":"https://openalex.org/C2400350","wikidata":"https://www.wikidata.org/wiki/Q1752667","display_name":"Linear code","level":4,"score":0.31730395555496216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14855647087097168},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.11805015802383423},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09771192073822021},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2017.8190987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2017.8190987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2015218186","https://openalex.org/W2170313108","https://openalex.org/W2296125569","https://openalex.org/W2914980053"],"related_works":["https://openalex.org/W2071516624","https://openalex.org/W1977139537","https://openalex.org/W2976106059","https://openalex.org/W2089476296","https://openalex.org/W2017830967","https://openalex.org/W2535384339","https://openalex.org/W2964302506","https://openalex.org/W2113911300","https://openalex.org/W1996227932","https://openalex.org/W4288106276"],"abstract_inverted_index":{"RaptorQ":[0],"is":[1,25,41,60],"the":[2,14,19],"most":[3],"advanced":[4],"raptor":[5],"code":[6,17],"and":[7,29,48,71],"has":[8],"an":[9,36,69],"overhead-failure":[10],"curve":[11],"close":[12],"to":[13,27,74],"random":[15],"fountain":[16],"over":[18],"GF(256)":[20],"finite":[21],"field.":[22],"Theoretically,":[23],"it":[24],"possible":[26],"encode":[28],"decode":[30],"with":[31,78],"linear":[32,53],"time":[33,54,80],"complexity":[34,55,81],"by":[35],"inactivation":[37,76],"decoding":[38,77],"algorithm,":[39],"which":[40],"a":[42,57,61],"hybrid":[43],"algorithm":[44,70],"of":[45],"belief":[46],"propagation":[47],"Gaussian":[49],"elimination.":[50],"However,":[51],"achieving":[52],"in":[56],"real-world":[58],"implementation":[59],"challenging":[62],"task.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67],"provide":[68],"data":[72],"structure":[73],"implement":[75],"near-linear":[79],"using":[82],"graphic":[83],"processing":[84],"unit.":[85]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}