{"id":"https://openalex.org/W3023450044","doi":"https://doi.org/10.3233/apc200097","title":"Parallel Totally Induced Edge Sampling on FPGAs1","display_name":"Parallel Totally Induced Edge Sampling on FPGAs1","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023450044","doi":"https://doi.org/10.3233/apc200097","mag":"3023450044"},"language":"en","primary_location":{"id":"doi:10.3233/apc200097","is_oa":true,"landing_page_url":"https://doi.org/10.3233/apc200097","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/APC200097","source":{"id":"https://openalex.org/S4210175178","display_name":"Advances in parallel computing","issn_l":"0927-5452","issn":["0927-5452","1879-808X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Parallel Computing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/APC200097","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110682538","display_name":"Akshit Goel","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Goel Akshit","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, India 333031"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science Pilani, India 333031","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015036207","display_name":"Sanmukh R. Kuppannagari","orcid":"https://orcid.org/0000-0002-2062-1483"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuppannagari Sanmukh R.","raw_affiliation_strings":["Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA 90089"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA 90089","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397456","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0001-8857-3679"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA 90089"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA 90089","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002594174","display_name":"Ajitesh Srivastava","orcid":"https://orcid.org/0000-0002-8706-5717"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srivastava Ajitesh","raw_affiliation_strings":["Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA 90089"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA 90089","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033166029","display_name":"Viktor K. Prasanna","orcid":"https://orcid.org/0000-0002-1609-8589"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prasanna Viktor K.","raw_affiliation_strings":["Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA 90089"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, USA 90089","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110682538"],"corresponding_institution_ids":["https://openalex.org/I74796645"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10964286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9761000275611877,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6501265168190002},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.533586859703064},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.49316948652267456},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46374306082725525},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4539009928703308},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.44630664587020874},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4133959710597992},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39749664068222046},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39455926418304443},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09000983834266663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6501265168190002},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.533586859703064},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.49316948652267456},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46374306082725525},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4539009928703308},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.44630664587020874},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4133959710597992},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39749664068222046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39455926418304443},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09000983834266663},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/apc200097","is_oa":true,"landing_page_url":"https://doi.org/10.3233/apc200097","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/APC200097","source":{"id":"https://openalex.org/S4210175178","display_name":"Advances in parallel computing","issn_l":"0927-5452","issn":["0927-5452","1879-808X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Parallel Computing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/apc200097","is_oa":true,"landing_page_url":"https://doi.org/10.3233/apc200097","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/APC200097","source":{"id":"https://openalex.org/S4210175178","display_name":"Advances in parallel computing","issn_l":"0927-5452","issn":["0927-5452","1879-808X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Parallel Computing","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5214981496","display_name":null,"funder_award_id":"1911229","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023450044.pdf","grobid_xml":"https://content.openalex.org/works/W3023450044.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W1999986766","https://openalex.org/W2015526606","https://openalex.org/W2338645642","https://openalex.org/W2755088640","https://openalex.org/W2766010992","https://openalex.org/W2884144908","https://openalex.org/W2898565872","https://openalex.org/W2944489058","https://openalex.org/W2950550864"],"related_works":["https://openalex.org/W1995889332","https://openalex.org/W3104163240","https://openalex.org/W3008693296","https://openalex.org/W4312283151","https://openalex.org/W2381158465","https://openalex.org/W2617721340","https://openalex.org/W2507253542","https://openalex.org/W2327589517","https://openalex.org/W3043674730","https://openalex.org/W1978012318"],"abstract_inverted_index":{"Graphs":[0],"are":[1,44,131,140],"a":[2,9,37,66,165,182,231],"powerful":[3],"tool":[4],"for":[5],"data":[6,168,187],"representation":[7],"in":[8,92,142,193,216],"wide":[10],"range":[11],"of":[12,57,71,94,99,129,201,205,213,218],"domains":[13],"like":[14],"social,":[15],"biological,":[16],"informational,":[17],"etc.":[18],"But":[19],"their":[20],"extremely":[21],"large":[22],"sizes":[23],"often":[24],"makes":[25],"it":[26],"computationally":[27,45],"infeasible":[28],"to":[29,47,53,151,163],"study":[30],"the":[31,55,58,96,100,113,117,121,126,134,137,143,172,199,203,206,211,214,247],"entire":[32,59],"graphs.":[33],"Graph":[34],"sampling":[35,90],"provides":[36],"solution":[38],"by":[39],"generating":[40],"smaller":[41],"subgraphs":[42],"which":[43,170,189],"feasible":[46],"analyze":[48,210],"and":[49,103,115,155,209,224,242],"can":[50],"be":[51],"used":[52],"infer":[54],"properties":[56,98],"graph.":[60],"In":[61],"this":[62],"work,":[63],"we":[64,180],"develop":[65,181],"high":[67,153,234],"throughput":[68,154,223,232],"parallel":[69,149,160,191],"implementation":[70],"Totally":[72],"Induced":[73],"Edge":[74],"Sampling":[75],"(TIES)":[76],"algorithm":[77,110],"on":[78],"FPGA.":[79],"Prior":[80],"research":[81],"has":[82],"shown":[83],"that":[84],"TIES":[85],"performs":[86,243],"better":[87,106,245],"than":[88,246],"other":[89],"techniques":[91],"terms":[93,217],"preserving":[95],"topological":[97],"original":[101],"graph,":[102],"thus":[104,175],"generates":[105],"quality":[107],"subgraphs.":[108],"The":[109,159],"randomly":[111],"samples":[112],"edges":[114,135],"inserts":[116],"corresponding":[118],"vertices":[119,130,139,173],"into":[120],"sampled":[122,138,144,174,207],"vertex":[123],"set":[124],"until":[125],"desired":[127],"number":[128,200],"sampled.":[132],"Then,":[133],"connecting":[136],"included":[141],"subgraph.":[145],"We":[146,197],"use":[147],"multiple":[148],"pipelines":[150,161],"achieve":[152],"faster":[156],"graph":[157],"sampling.":[158],"need":[162],"access":[164],"global":[166],"dynamic":[167,184],"structure":[169,188],"contains":[171],"far.":[176],"To":[177],"support":[178],"this,":[179],"novel":[183],"hash":[185],"table":[186],"supports":[190],"accesses":[192],"each":[194],"clock":[195],"cycle.":[196],"vary":[198],"pipelines,":[202],"size":[204],"subgraph":[208],"performance":[212],"design":[215,229],"on-chip":[219],"FPGA":[220],"resource":[221],"utilization,":[222],"total":[225],"execution":[226],"time.":[227],"Our":[228],"achieves":[230],"as":[233,235],"2471":[236],"Million":[237],"Edges":[238],"Per":[239],"Second":[240],"(MEPS)":[241],"3.6x":[244],"state-of-the-art":[248],"multi-core":[249],"design.":[250]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2020-05-13T00:00:00"}