{"id":"https://openalex.org/W3056409443","doi":"https://doi.org/10.1145/3409390.3409394","title":"Devise Sparse Compression Schedulers to Enhance FastText Methods","display_name":"Devise Sparse Compression Schedulers to Enhance FastText Methods","publication_year":2020,"publication_date":"2020-08-17","ids":{"openalex":"https://openalex.org/W3056409443","doi":"https://doi.org/10.1145/3409390.3409394","mag":"3056409443"},"language":"en","primary_location":{"id":"doi:10.1145/3409390.3409394","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409390.3409394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th International Conference on Parallel Processing - ICPP : Workshops","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/A5110945055","display_name":"Chen-Ting Chao","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chen-Ting Chao","raw_affiliation_strings":["National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058684855","display_name":"Wei-Hsu Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Hsu Chu","raw_affiliation_strings":["National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034885231","display_name":"Chao-Lin Lee","orcid":"https://orcid.org/0000-0002-4619-3843"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Lin Lee","raw_affiliation_strings":["National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038803698","display_name":"Jenq\u2010Kuen Lee","orcid":"https://orcid.org/0000-0001-9919-6258"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jenq-Kuen Lee","raw_affiliation_strings":["National Tsing Hua University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072319470","display_name":"Ming-Yu Hung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148979","display_name":"MediaTek (Taiwan)","ror":"https://ror.org/05g9jck81","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210148979"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Yu Hung","raw_affiliation_strings":["MediaTek Inc, Taiwan"],"affiliations":[{"raw_affiliation_string":"MediaTek Inc, Taiwan","institution_ids":["https://openalex.org/I4210148979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050962797","display_name":"Hsiang-Wei Sung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148979","display_name":"MediaTek (Taiwan)","ror":"https://ror.org/05g9jck81","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210148979"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiang-Wei Sung","raw_affiliation_strings":["MediaTek Inc, Taiwan"],"affiliations":[{"raw_affiliation_string":"MediaTek Inc, Taiwan","institution_ids":["https://openalex.org/I4210148979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110945055"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.231,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47517422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9987000226974487,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488031983375549},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5302808880805969},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4691029489040375},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.43381187319755554},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4306182265281677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31864064931869507},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11364427208900452},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06980231404304504},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.054189085960388184}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488031983375549},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5302808880805969},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4691029489040375},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.43381187319755554},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4306182265281677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31864064931869507},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11364427208900452},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06980231404304504},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.054189085960388184},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3409390.3409394","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409390.3409394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th International Conference on Parallel Processing - ICPP : Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1989988531","https://openalex.org/W2006295906","https://openalex.org/W2027851979","https://openalex.org/W2044921083","https://openalex.org/W2134038353","https://openalex.org/W2189481802","https://openalex.org/W2250539671","https://openalex.org/W2493916176","https://openalex.org/W2808128431","https://openalex.org/W2950577311","https://openalex.org/W2951178714","https://openalex.org/W2955301920","https://openalex.org/W2963343843","https://openalex.org/W2963626623","https://openalex.org/W4251637954"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W326456911","https://openalex.org/W3202552726","https://openalex.org/W2612632602","https://openalex.org/W2321805087","https://openalex.org/W2279642117"],"abstract_inverted_index":{"In":[0,70,124,140],"natural":[1],"language":[2],"processing(NLP),":[3],"the":[4,9,31,76,80,105,119,129,136,159,177],"general":[5,113],"way":[6],"to":[7,95,175],"understand":[8],"meaning":[10],"of":[11,118,132],"a":[12,144],"word":[13,16,19,43,97,106],"is":[14,83,116],"via":[15],"embedding.":[17],"The":[18],"embedding":[20,44,98],"training":[21,45],"model":[22,138],"can":[23,56],"convert":[24],"words":[25,32,58],"into":[26,38,59],"multidimensional":[27],"vectors":[28,39,60],"and":[29,53,61,99,134,172],"make":[30],"that":[33,92],"do":[34],"not":[35],"know":[36],"\u201cmeaning\u201d":[37],"with":[40,148,163],"\u201cmeaning\u201d.":[41],"Famous":[42],"models,":[46],"include":[47,168],"models":[48],"such":[49],"as":[50],"FastText,":[51,110,133],"Word2Vec,":[52],"GloVe.":[54],"They":[55],"train":[57],"then":[62],"they":[63],"are":[64],"used":[65],"for":[66,79],"further":[67],"semantic":[68],"classifications.":[69],"this":[71,125],"paper,":[72,126],"we":[73,127,142],"work":[74],"on":[75,104],"efficient":[77],"support":[78,162],"FastText.":[81],"FastText":[82],"an":[84],"open":[85],"source":[86],"library":[87],"created":[88],"by":[89,157],"Facebook(FAIR)":[90],"lab":[91],"allows":[93],"users":[94],"learn":[96],"text":[100],"classification.":[101],"We":[102],"focus":[103],"representation":[107],"application":[108],"in":[109,111,152],"which":[112,154],"matrix-Vector":[114],"multiplication(GEMV)":[115],"one":[117],"most":[120],"computationally":[121],"intensive":[122],"operations.":[123],"adjust":[128],"software":[130],"architecture":[131],"pre-process":[135],"pre-trained":[137],"offline.":[139],"addition,":[141],"introduce":[143],"new":[145],"accelerating":[146],"method":[147],"sparse":[149,165],"matrix":[150],"compression":[151,166,170],"Halide,":[153],"improves":[155],"performance":[156],"compressing":[158],"matrix.":[160],"Our":[161],"Halide":[164],"schedulers":[167],"hybrid":[169],"schemes":[171],"re-ordering":[173],"methods":[174],"improve":[176],"performance.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
