{"id":"https://openalex.org/W3210432446","doi":"https://doi.org/10.1145/3458817.3476138","title":"E.T.","display_name":"E.T.","publication_year":2021,"publication_date":"2021-10-21","ids":{"openalex":"https://openalex.org/W3210432446","doi":"https://doi.org/10.1145/3458817.3476138","mag":"3210432446"},"language":"en","primary_location":{"id":"doi:10.1145/3458817.3476138","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458817.3476138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis","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/A5016169662","display_name":"Shiyang Chen","orcid":"https://orcid.org/0000-0003-2626-7865"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shiyang Chen","raw_affiliation_strings":["Stevens Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073345631","display_name":"Shaoyi Huang","orcid":"https://orcid.org/0000-0001-6093-9798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaoyi Huang","raw_affiliation_strings":["University of Connecticut"],"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001488441","display_name":"Santosh Pandey","orcid":"https://orcid.org/0000-0002-3528-6868"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Santosh Pandey","raw_affiliation_strings":["Stevens Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375966","display_name":"Bingbing Li","orcid":"https://orcid.org/0000-0002-9224-2685"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bingbing Li","raw_affiliation_strings":["University of Connecticut"],"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046024163","display_name":"Guang R. Gao","orcid":"https://orcid.org/0000-0002-5265-7528"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guang R. Gao","raw_affiliation_strings":["University of Delaware"],"affiliations":[{"raw_affiliation_string":"University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010576682","display_name":"Long Zheng","orcid":"https://orcid.org/0000-0002-7993-2913"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Long Zheng","raw_affiliation_strings":["University of Delaware"],"affiliations":[{"raw_affiliation_string":"University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030060072","display_name":"Caiwen Ding","orcid":"https://orcid.org/0000-0003-0891-1231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Caiwen Ding","raw_affiliation_strings":["University of Connecticut"],"affiliations":[{"raw_affiliation_string":"University of Connecticut","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338967","display_name":"Hang Liu","orcid":"https://orcid.org/0000-0002-5246-8399"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Liu","raw_affiliation_strings":["Stevens Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5016169662"],"corresponding_institution_ids":["https://openalex.org/I108468826"],"apc_list":null,"apc_paid":null,"fwci":1.3597,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84799293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8064305782318115},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.689186692237854},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6618300080299377},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6474978923797607},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4931182563304901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46520811319351196},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.43492579460144043},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.43265601992607117},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42706626653671265},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4205903112888336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4015333354473114},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33328384160995483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26249998807907104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064305782318115},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.689186692237854},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6618300080299377},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6474978923797607},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4931182563304901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46520811319351196},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.43492579460144043},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.43265601992607117},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42706626653671265},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4205903112888336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4015333354473114},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33328384160995483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3458817.3476138","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458817.3476138","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4111929484","display_name":null,"funder_award_id":"2000722,2046102","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2107861471","https://openalex.org/W2267186426","https://openalex.org/W2525332836","https://openalex.org/W2599674900","https://openalex.org/W2798170643","https://openalex.org/W2798291715","https://openalex.org/W2884877436","https://openalex.org/W2892009249","https://openalex.org/W2892181857","https://openalex.org/W2923014074","https://openalex.org/W2934853022","https://openalex.org/W2951396542","https://openalex.org/W2962785754","https://openalex.org/W2963748441","https://openalex.org/W2963846996","https://openalex.org/W2975381464","https://openalex.org/W2978017171","https://openalex.org/W2996428491","https://openalex.org/W3015982254","https://openalex.org/W3016542674","https://openalex.org/W3019828385","https://openalex.org/W3038012435","https://openalex.org/W3090912412","https://openalex.org/W3091170309","https://openalex.org/W3091174280","https://openalex.org/W3100985894","https://openalex.org/W3101248447","https://openalex.org/W3103754749","https://openalex.org/W3104033643","https://openalex.org/W3130716829","https://openalex.org/W4212774754","https://openalex.org/W4244652618"],"related_works":["https://openalex.org/W4288365749","https://openalex.org/W2936497627","https://openalex.org/W3013624417","https://openalex.org/W4287826556","https://openalex.org/W3098382480","https://openalex.org/W4287598411","https://openalex.org/W3100913109","https://openalex.org/W3198458223","https://openalex.org/W3126642501","https://openalex.org/W2964413124"],"abstract_inverted_index":{"Transformer-based":[0],"deep":[1],"learning":[2],"models":[3,26,54],"have":[4],"become":[5],"a":[6,11,64,132],"ubiquitous":[7],"vehicle":[8],"to":[9,96],"drive":[10],"variety":[12,133],"of":[13,134],"Natural":[14],"Language":[15],"Processing":[16],"(NLP)":[17],"related":[18],"tasks":[19],"beyond":[20],"their":[21],"accuracy":[22],"ceiling.":[23],"However,":[24],"these":[25],"also":[27,119],"suffer":[28],"from":[29],"two":[30,70],"pronounced":[31],"challenges,":[32],"that":[33,48],"is,":[34],"gigantic":[35],"model":[36],"size":[37],"and":[38,79,139,158],"prolonged":[39],"turnaround":[40,104],"time.":[41,105],"To":[42],"this":[43],"end,":[44],"we":[45,62,84,110,128],"introduce":[46,63],"ET.":[47],"r<u>E</u>-thinks":[49],"self-attention":[50,66,72],"computation":[51],"for":[52,123,136],"<u>T</u>ransformer":[53],"on":[55],"GPUs":[56],"with":[57,74],"the":[58,107,114,147,151],"following":[59],"contributions:":[60],"First,":[61],"novel":[65],"architecture,":[67],"which":[68,90],"encompasses":[69],"tailored":[71],"operators":[73],"corresponding":[75],"sequence":[76],"length-aware":[77],"optimizations,":[78],"operation":[80],"reordering":[81],"optimizations.":[82],"Second,":[83],"present":[85],"an":[86],"attention-aware":[87],"pruning":[88,94,108,116],"design":[89],"judiciously":[91],"uses":[92],"various":[93],"algorithms":[95],"reduce":[97],"more":[98],"computations":[99],"hence":[100],"achieves":[101],"significantly":[102],"shorter":[103],"For":[106],"algorithms,":[109,117],"not":[111],"only":[112],"revamp":[113],"existing":[115],"but":[118],"tailor":[120],"new":[121],"ones":[122],"transformer":[124],"models.":[125],"Taken":[126],"together,":[127],"evaluate":[129],"E.T.":[130,142],"across":[131],"benchmarks":[135],"Transformer,":[137],"BERTBASE":[138],"DistilBERT,":[140],"where":[141],"presents":[143],"superior":[144],"performance":[145],"over":[146],"mainstream":[148],"projects,":[149],"including":[150],"popular":[152],"Nvidia":[153],"Enterprise":[154],"solutions,":[155],"i.e.,":[156],"TensorRT":[157],"FasterTransformer.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-11-08T00:00:00"}
