{"id":"https://openalex.org/W2440019798","doi":"https://doi.org/10.1177/1094342016652462","title":"Fine-grained floating-point precision analysis","display_name":"Fine-grained floating-point precision analysis","publication_year":2016,"publication_date":"2016-06-15","ids":{"openalex":"https://openalex.org/W2440019798","doi":"https://doi.org/10.1177/1094342016652462","mag":"2440019798"},"language":"en","primary_location":{"id":"doi:10.1177/1094342016652462","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1094342016652462","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","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/A5083230952","display_name":"Michael O. Lam","orcid":"https://orcid.org/0000-0002-9415-5534"},"institutions":[{"id":"https://openalex.org/I11883440","display_name":"James Madison University","ror":"https://ror.org/028pmsz77","country_code":"US","type":"education","lineage":["https://openalex.org/I11883440"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael O Lam","raw_affiliation_strings":["Department of Computer Science, James Madison University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, James Madison University, USA","institution_ids":["https://openalex.org/I11883440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113657683","display_name":"Jeffrey K. Hollingsworth","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey K Hollingsworth","raw_affiliation_strings":["Department of Computer Science, University of Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Maryland, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083230952"],"corresponding_institution_ids":["https://openalex.org/I11883440"],"apc_list":null,"apc_paid":null,"fwci":4.19330481,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95921554,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"32","issue":"2","first_page":"231","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9977999925613403,"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":0.9902999997138977,"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":0.798723042011261},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.6226497888565063},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5845196843147278},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5484826564788818},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5024936199188232},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4950529634952545},{"id":"https://openalex.org/keywords/rounding","display_name":"Rounding","score":0.49445056915283203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46369943022727966},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4538414180278778},{"id":"https://openalex.org/keywords/double-precision-floating-point-format","display_name":"Double-precision floating-point format","score":0.45317915081977844},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4420255720615387},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.43001434206962585},{"id":"https://openalex.org/keywords/instrumentation","display_name":"Instrumentation (computer programming)","score":0.41453126072883606},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3386651277542114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3276607394218445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12604740262031555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12108156085014343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.798723042011261},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.6226497888565063},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5845196843147278},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5484826564788818},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5024936199188232},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4950529634952545},{"id":"https://openalex.org/C136625980","wikidata":"https://www.wikidata.org/wiki/Q663208","display_name":"Rounding","level":2,"score":0.49445056915283203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46369943022727966},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4538414180278778},{"id":"https://openalex.org/C35912277","wikidata":"https://www.wikidata.org/wiki/Q1243369","display_name":"Double-precision floating-point format","level":3,"score":0.45317915081977844},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4420255720615387},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43001434206962585},{"id":"https://openalex.org/C118530786","wikidata":"https://www.wikidata.org/wiki/Q1134732","display_name":"Instrumentation (computer programming)","level":2,"score":0.41453126072883606},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3386651277542114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3276607394218445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12604740262031555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12108156085014343},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1094342016652462","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1094342016652462","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"1094-3420","issn":["1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338304","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1527148394","https://openalex.org/W1531068736","https://openalex.org/W1533404702","https://openalex.org/W1548182513","https://openalex.org/W1572171512","https://openalex.org/W1974312429","https://openalex.org/W1977074555","https://openalex.org/W1993620503","https://openalex.org/W2009259487","https://openalex.org/W2020804487","https://openalex.org/W2081368694","https://openalex.org/W2104281151","https://openalex.org/W2105524676","https://openalex.org/W2109955300","https://openalex.org/W2112121929","https://openalex.org/W2117752372","https://openalex.org/W2155967869","https://openalex.org/W2160468841","https://openalex.org/W2169004268","https://openalex.org/W2564554657","https://openalex.org/W2610467942","https://openalex.org/W4245521866","https://openalex.org/W4300421229"],"related_works":["https://openalex.org/W2041684335","https://openalex.org/W2535419677","https://openalex.org/W2134876043","https://openalex.org/W2476214559","https://openalex.org/W2544512391","https://openalex.org/W2950918715","https://openalex.org/W4232872402","https://openalex.org/W2118569990","https://openalex.org/W4234915478","https://openalex.org/W3185228140"],"abstract_inverted_index":{"Floating-point":[0],"computation":[1],"is":[2],"ubiquitous":[3],"in":[4],"high-performance":[5],"scientific":[6],"computing,":[7],"but":[8],"rounding":[9],"error":[10],"can":[11,146],"compromise":[12],"the":[13,51,54,111,132],"results":[14,123],"of":[15,44,53,62,86,134],"extended":[16],"calculations,":[17],"especially":[18],"at":[19],"large":[20],"scales.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"present":[26,81,122],"new":[27],"techniques":[28,58],"that":[29,99,130],"use":[30],"binary":[31],"instrumentation":[32],"and":[33,66,128,140,168],"modification":[34],"to":[35,50,102,113],"do":[36],"fine-grained":[37,69],"floating-point":[38,89],"precision":[39,45,52,90,163],"analysis,":[40],"simulating":[41],"any":[42],"level":[43],"less":[46],"than":[47,75],"or":[48],"equal":[49],"original":[55],"program.":[56],"These":[57],"have":[59],"an":[60,95],"average":[61],"40\u201370%":[63],"lower":[64],"overhead":[65],"provide":[67],"more":[68,147],"insights":[70],"into":[71],"a":[72,82,87],"program\u2019s":[73,88],"sensitivity":[74],"previous":[76],"mixed-precision":[77],"analyses.":[78],"We":[79,121],"also":[80],"novel":[83,142],"histogram-based":[84],"visualization":[85],"sensitivity,":[91],"as":[92,94],"well":[93],"incremental":[96],"search":[97],"technique":[98],"allows":[100],"developers":[101,145],"incrementally":[103],"trade":[104],"off":[105],"analysis":[106],"time":[107,167],"for":[108,150],"detail,":[109],"including":[110],"ability":[112],"restart":[114],"analyses":[115],"from":[116,124],"where":[117],"they":[118],"left":[119],"off.":[120],"several":[125],"case":[126],"studies":[127],"experiments":[129],"show":[131],"efficacy":[133],"these":[135],"techniques.":[136],"Using":[137],"our":[138],"tool":[139],"its":[141],"visualization,":[143],"application":[144,156],"quickly":[148],"determine":[149],"specific":[151],"data":[152],"sets":[153],"whether":[154],"their":[155],"could":[157],"be":[158],"run":[159],"using":[160],"fewer":[161],"double":[162],"variables,":[164],"saving":[165],"both":[166],"memory":[169],"space.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
