{"id":"https://openalex.org/W2735827543","doi":"https://doi.org/10.1145/3092950","title":"Exploiting Stable Data Dependency in Stream Processing Acceleration on FPGAs","display_name":"Exploiting Stable Data Dependency in Stream Processing Acceleration on FPGAs","publication_year":2017,"publication_date":"2017-07-13","ids":{"openalex":"https://openalex.org/W2735827543","doi":"https://doi.org/10.1145/3092950","mag":"2735827543"},"language":"en","primary_location":{"id":"doi:10.1145/3092950","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3092950","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-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/A5101772629","display_name":"Yuliang Sun","orcid":"https://orcid.org/0000-0002-0918-0322"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuliang Sun","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025153128","display_name":"Lanjun Wang","orcid":"https://orcid.org/0000-0002-7696-5330"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lanjun Wang","raw_affiliation_strings":["University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337560","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-3119-4763"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445061","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0001-6108-5157"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101772629"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10663648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"4","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9995999932289124,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9995999932289124,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8752654790878296},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8709512948989868},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7673681974411011},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6093614101409912},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5820064544677734},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4856473207473755},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4789339005947113},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.4263717532157898},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33380579948425293},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3247036337852478},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2694467008113861},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1472650170326233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8752654790878296},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8709512948989868},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7673681974411011},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6093614101409912},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5820064544677734},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4856473207473755},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4789339005947113},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.4263717532157898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33380579948425293},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3247036337852478},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2694467008113861},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1472650170326233},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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},{"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:10.1145/3092950","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3092950","pdf_url":null,"source":{"id":"https://openalex.org/S136160450","display_name":"ACM Transactions on Embedded Computing Systems","issn_l":"1539-9087","issn":["1539-9087","1558-3465"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Embedded Computing Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5656531612","display_name":null,"funder_award_id":"No.61373026, 61622403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1486632395","https://openalex.org/W1556873914","https://openalex.org/W1970779762","https://openalex.org/W1987163291","https://openalex.org/W1988799470","https://openalex.org/W2052166264","https://openalex.org/W2068686165","https://openalex.org/W2095897464","https://openalex.org/W2098730617","https://openalex.org/W2098759488","https://openalex.org/W2102727638","https://openalex.org/W2108089272","https://openalex.org/W2115572397","https://openalex.org/W2120276090","https://openalex.org/W2133138160","https://openalex.org/W2138924491","https://openalex.org/W2141062513","https://openalex.org/W2147624301","https://openalex.org/W2152142354","https://openalex.org/W2153185479","https://openalex.org/W2161831889","https://openalex.org/W2165011274","https://openalex.org/W2294895103","https://openalex.org/W2587865853"],"related_works":["https://openalex.org/W2111241003","https://openalex.org/W4200391368","https://openalex.org/W2355315220","https://openalex.org/W2210979487","https://openalex.org/W2074043759","https://openalex.org/W2067317451","https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506","https://openalex.org/W2160474882"],"abstract_inverted_index":{"With":[0],"the":[1,19,32,75,90,119,132,137,160,163],"unique":[2],"feature":[3],"of":[4,21,34,92,136,155,162],"fine-grained":[5],"parallelism,":[6],"field-programmable":[7],"gate":[8],"arrays":[9],"(FPGAs)":[10],"show":[11,141],"great":[12],"potential":[13],"for":[14],"streaming":[15,48,61],"algorithm":[16,49,96],"acceleration.":[17],"However,":[18],"lack":[20],"a":[22,43,127],"design":[23,44,148],"framework,":[24,86,123],"restrictions":[25],"on":[26,51,118],"FPGAs,":[27],"and":[28,67,111,122],"ineffective":[29],"tools":[30,149],"impede":[31],"utilization":[33],"FPGAs":[35],"in":[36],"practice.":[37],"In":[38],"this":[39,79],"study,":[40],"we":[41,73,81,124],"provide":[42],"paradigm":[45],"to":[46,59,98,106,130,152],"support":[47],"acceleration":[50],"FPGAs.":[52],"We":[53],"first":[54],"propose":[55],"an":[56,84],"abstract":[57],"model":[58,121],"describe":[60],"algorithms":[62],"with":[63],"homogeneous":[64],"sub-functions":[65],"(HSF)":[66],"stable":[68],"data":[69],"dependency":[70],"(SDD),":[71],"which":[72],"call":[74],"HSF-SDD":[76],"model.":[77],"Using":[78],"model,":[80],"then":[82],"develop":[83],"FPGA":[85,147],"PE-Ring,":[87],"that":[88,142],"has":[89],"advantages":[91],"(1)":[93],"fully":[94],"exploiting":[95],"parallelism":[97],"achieve":[99],"high":[100],"performance,":[101],"(2)":[102],"leveraging":[103],"block":[104],"RAM":[105],"serve":[107],"large":[108],"scale":[109],"parameters,":[110],"(3)":[112],"enabling":[113],"flexible":[114],"parameter":[115],"adjustments.":[116],"Based":[117],"proposed":[120],"finally":[125],"implement":[126],"specific":[128],"converter":[129],"generate":[131],"register-transfer":[133],"level":[134],"representation":[135],"PE-Ring.":[138,164],"Experimental":[139],"results":[140],"our":[143],"method":[144],"outperforms":[145],"ordinary":[146],"by":[150],"one":[151],"two":[153],"orders":[154],"magnitude.":[156],"Experiments":[157],"also":[158],"demonstrate":[159],"scalability":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}