{"id":"https://openalex.org/W2950142771","doi":"https://doi.org/10.1145/3330345.3330362","title":"Address-stride assisted approximate load value prediction in GPUs","display_name":"Address-stride assisted approximate load value prediction in GPUs","publication_year":2019,"publication_date":"2019-06-18","ids":{"openalex":"https://openalex.org/W2950142771","doi":"https://doi.org/10.1145/3330345.3330362","mag":"2950142771"},"language":"en","primary_location":{"id":"doi:10.1145/3330345.3330362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3330345.3330362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Supercomputing","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/A5100342599","display_name":"Haonan Wang","orcid":"https://orcid.org/0009-0009-1027-6792"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Haonan Wang","raw_affiliation_strings":["College of William & Mary"],"affiliations":[{"raw_affiliation_string":"College of William & Mary","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066580088","display_name":"Mohamed Assem Ibrahim","orcid":"https://orcid.org/0000-0002-4129-0310"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Ibrahim","raw_affiliation_strings":["College of William & Mary"],"affiliations":[{"raw_affiliation_string":"College of William & Mary","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012290807","display_name":"Sparsh Mittal","orcid":"https://orcid.org/0000-0002-2908-993X"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sparsh Mittal","raw_affiliation_strings":["IIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050350124","display_name":"Adwait Jog","orcid":"https://orcid.org/0000-0002-5525-7204"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adwait Jog","raw_affiliation_strings":["College of William & Mary"],"affiliations":[{"raw_affiliation_string":"College of William & Mary","institution_ids":["https://openalex.org/I16285277"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100342599"],"corresponding_institution_ids":["https://openalex.org/I16285277"],"apc_list":null,"apc_paid":null,"fwci":0.2468,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48329537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"184","last_page":"194"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9991000294685364,"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":0.8402307033538818},{"id":"https://openalex.org/keywords/stride","display_name":"STRIDE","score":0.614658772945404},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6100993752479553},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5895423889160156},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5568550229072571},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5327112078666687},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.47764837741851807},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3879726827144623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1148236095905304},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.07649657130241394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8402307033538818},{"id":"https://openalex.org/C18007350","wikidata":"https://www.wikidata.org/wiki/Q7394815","display_name":"STRIDE","level":2,"score":0.614658772945404},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6100993752479553},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5895423889160156},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5568550229072571},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5327112078666687},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.47764837741851807},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3879726827144623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1148236095905304},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.07649657130241394},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3330345.3330362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3330345.3330362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM International Conference on Supercomputing","raw_type":"proceedings-article"},{"id":"pmh:oai:raiith.iith.ac.in:7023","is_oa":false,"landing_page_url":"http://raiith.iith.ac.in/7023/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400292","display_name":"Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65181880","host_organization_name":"Indian Institute of Technology Hyderabad","host_organization_lineage":["https://openalex.org/I65181880"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2495720438","display_name":null,"funder_award_id":"1657336, 1717532, 1750667","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":46,"referenced_works":["https://openalex.org/W1741595399","https://openalex.org/W1937235839","https://openalex.org/W1979527452","https://openalex.org/W1983235612","https://openalex.org/W1984884994","https://openalex.org/W1997401508","https://openalex.org/W2014423307","https://openalex.org/W2020517863","https://openalex.org/W2024122052","https://openalex.org/W2037898879","https://openalex.org/W2047060659","https://openalex.org/W2048441570","https://openalex.org/W2053496002","https://openalex.org/W2064726690","https://openalex.org/W2093043622","https://openalex.org/W2098274770","https://openalex.org/W2100672751","https://openalex.org/W2100799353","https://openalex.org/W2105544671","https://openalex.org/W2117093250","https://openalex.org/W2120692212","https://openalex.org/W2125551452","https://openalex.org/W2142119745","https://openalex.org/W2142328102","https://openalex.org/W2142444503","https://openalex.org/W2143283746","https://openalex.org/W2143773524","https://openalex.org/W2154693467","https://openalex.org/W2157980128","https://openalex.org/W2170881177","https://openalex.org/W2237415205","https://openalex.org/W2270323267","https://openalex.org/W2322230929","https://openalex.org/W2410071687","https://openalex.org/W2561860907","https://openalex.org/W2562506265","https://openalex.org/W2794653104","https://openalex.org/W2795326697","https://openalex.org/W3144376511","https://openalex.org/W4234252501","https://openalex.org/W4234833047","https://openalex.org/W4244454515","https://openalex.org/W4249082578","https://openalex.org/W6674535653","https://openalex.org/W6675286654","https://openalex.org/W6682741737"],"related_works":["https://openalex.org/W2347597433","https://openalex.org/W2389023277","https://openalex.org/W2562411628","https://openalex.org/W3034772098","https://openalex.org/W2100563491","https://openalex.org/W2124672917","https://openalex.org/W4289821489","https://openalex.org/W4297820790","https://openalex.org/W2388211622","https://openalex.org/W2220968517"],"abstract_inverted_index":{"Value":[0],"prediction":[1,88,131],"holds":[2],"the":[3,8,15,39,42,50,62,66,77,87,103,111,125],"promise":[4],"of":[5,68,105,127,137],"significantly":[6],"improving":[7,86],"performance":[9,21],"and":[10],"energy":[11],"efficiency.":[12],"However,":[13,64],"if":[14],"values":[16,129],"are":[17,23,44,82,117],"predicted":[18,128],"incorrectly,":[19],"significant":[20],"overheads":[22],"observed":[24],"due":[25,55],"to":[26,56,61,123],"execution":[27],"rollbacks.":[28],"To":[29],"address":[30],"these":[31],"overheads,":[32],"value":[33,57,80,106,136],"approximation":[34],"is":[35,59,121],"introduced,":[36],"which":[37],"leverages":[38],"observation":[40],"that":[41,76],"rollbacks":[43],"not":[45,83,93],"necessary":[46,122],"as":[47,49,90,119],"long":[48],"application-level":[51,138],"loss":[52],"in":[53,65,85,101],"quality":[54],"misprediction":[58],"acceptable":[60,135],"user.":[63],"context":[67],"Graphics":[69],"Processing":[70],"Units":[71],"(GPUs),":[72],"our":[73],"evaluations":[74],"show":[75],"existing":[78],"approximate":[79],"predictors":[81],"optimal":[84],"accuracy":[89,104],"they":[91],"do":[92],"consider":[94],"memory":[95],"request":[96],"order,":[97],"a":[98,109],"key":[99],"characteristic":[100],"determining":[102],"prediction.":[107],"As":[108],"result,":[110],"overall":[112],"data":[113],"movement":[114],"reduction":[115],"benefits":[116],"capped":[118],"it":[120],"limit":[124],"percentage":[126],"(i.e.,":[130],"coverage)":[132],"for":[133],"an":[134],"error.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}