{"id":"https://openalex.org/W4414198453","doi":"https://doi.org/10.1109/dac63849.2025.11133241","title":"GraphFI: An Efficient Fault Injection Framework for Graph Processing on GPGPUs","display_name":"GraphFI: An Efficient Fault Injection Framework for Graph Processing on GPGPUs","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4414198453","doi":"https://doi.org/10.1109/dac63849.2025.11133241"},"language":"en","primary_location":{"id":"doi:10.1109/dac63849.2025.11133241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11133241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","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/A5084762909","display_name":"Nan Jiang","orcid":"https://orcid.org/0000-0003-4231-2179"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Jiang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033259177","display_name":"Hengshan Yue","orcid":"https://orcid.org/0000-0003-2189-8385"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshan Yue","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006875686","display_name":"Jingweijia Tan","orcid":"https://orcid.org/0000-0001-8256-7585"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingweijia Tan","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102529736","display_name":"Mengting Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengting Zhou","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410938","display_name":"Xiaonan Wang","orcid":"https://orcid.org/0000-0001-9363-6080"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaonan Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774056","display_name":"Yuchun Wang","orcid":"https://orcid.org/0000-0003-2719-782X"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchun Wang","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013431962","display_name":"Wenda Wei","orcid":"https://orcid.org/0009-0008-4126-3110"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenda Wei","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083330935","display_name":"Meikang Qiu","orcid":"https://orcid.org/0000-0002-1004-0140"},"institutions":[{"id":"https://openalex.org/I4210087454","display_name":"Augusta University Health","ror":"https://ror.org/007rawr89","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meikang Qiu","raw_affiliation_strings":["Augusta University,School of Computer and Cyber Science"],"affiliations":[{"raw_affiliation_string":"Augusta University,School of Computer and Cyber Science","institution_ids":["https://openalex.org/I4210087454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101467860","display_name":"Xiaohui Wei","orcid":"https://orcid.org/0000-0001-5597-3625"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Wei","raw_affiliation_strings":["Jilin University,College of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"Jilin University,College of Computer Science and Technology","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5084762909"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12623073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9934999942779541,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9934999942779541,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9865999817848206,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9848999977111816,"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/fault-injection","display_name":"Fault injection","score":0.6075000166893005},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5024999976158142},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4595000147819519},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4494999945163727},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.4253999888896942},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4203999936580658},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.41749998927116394},{"id":"https://openalex.org/keywords/dependability","display_name":"Dependability","score":0.4153999984264374},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3718000054359436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7910000085830688},{"id":"https://openalex.org/C2775928411","wikidata":"https://www.wikidata.org/wiki/Q2041312","display_name":"Fault injection","level":3,"score":0.6075000166893005},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5024999976158142},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4595000147819519},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4494999945163727},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4203999936580658},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C77019957","wikidata":"https://www.wikidata.org/wiki/Q2689057","display_name":"Dependability","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3718000054359436},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.3711000084877014},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.37040001153945923},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3686999976634979},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.3458000123500824},{"id":"https://openalex.org/C167391956","wikidata":"https://www.wikidata.org/wiki/Q1401211","display_name":"Fault model","level":3,"score":0.33730000257492065},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.3183000087738037},{"id":"https://openalex.org/C126953365","wikidata":"https://www.wikidata.org/wiki/Q5438152","display_name":"Fault coverage","level":3,"score":0.3147999942302704},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2971999943256378},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29580000042915344},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C50712370","wikidata":"https://www.wikidata.org/wiki/Q4269346","display_name":"Software fault tolerance","level":3,"score":0.2728999853134155},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2676999866962433},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.2667999863624573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dac63849.2025.11133241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dac63849.2025.11133241","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 62nd ACM/IEEE Design Automation Conference (DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322300","display_name":"Jilin University","ror":"https://ror.org/00js3aw79"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1619770058","https://openalex.org/W1965830721","https://openalex.org/W1979527452","https://openalex.org/W2053076698","https://openalex.org/W2123538390","https://openalex.org/W2242116942","https://openalex.org/W2605185701","https://openalex.org/W2631994569","https://openalex.org/W2735162286","https://openalex.org/W2767104566","https://openalex.org/W2901555552","https://openalex.org/W2902203584","https://openalex.org/W2905075051","https://openalex.org/W2961595369","https://openalex.org/W2962903741","https://openalex.org/W2973152414","https://openalex.org/W2983012040","https://openalex.org/W3021182071","https://openalex.org/W3036082746","https://openalex.org/W3042418709","https://openalex.org/W3091559170","https://openalex.org/W3129298663","https://openalex.org/W3130004149","https://openalex.org/W3171842021","https://openalex.org/W3173261253","https://openalex.org/W3187552919","https://openalex.org/W3202489111","https://openalex.org/W3211099997","https://openalex.org/W4235198076","https://openalex.org/W4244078624","https://openalex.org/W4250541405","https://openalex.org/W4283689961","https://openalex.org/W4388505273"],"related_works":[],"abstract_inverted_index":{"As":[0],"graph":[1,67,143],"tasks":[2,85],"become":[3],"pervasive":[4],"in":[5,142],"real-time":[6],"and":[7,14,65,100],"safetycritical":[8],"domains":[9],"(e.g.,":[10],"financial":[11],"fraud":[12],"detection":[13],"electrical":[15],"power":[16],"systems),":[17],"it":[18,57],"is":[19,93],"also":[20],"essential":[21],"to":[22,33,59,126,174,198,211],"guarantee":[23],"their":[24],"reliable":[25,66],"execution":[26,40],"beyond":[27],"pursuing":[28],"extraordinary":[29],"performance.":[30],"However,":[31],"due":[32],"the":[34,82,96,163,170],"neglect":[35],"of":[36,201],"consideration":[37],"for":[38,63,131,155,181],"graph-specific":[39,97,164],"paradigm,":[41],"existing":[42],"Fault":[43,78],"Injection":[44,79],"(FI)":[45],"reliability":[46,158,217],"analysis":[47],"methods":[48,213],"typically":[49],"incur":[50],"inaccurate":[51],"system":[52,177,192],"error":[53,98,119,133,179],"resilience":[54,134],"characterization,":[55],"making":[56],"challenging":[58],"provide":[60],"helpful":[61],"guidance":[62],"efficient":[64,76],"processing":[68],"paradigm":[69],"design.":[70],"This":[71],"paper":[72],"proposes":[73],"GraphFI,":[74],"an":[75],"Graph":[77],"framework":[80],"on":[81],"universal":[83],"parallel":[84],"acceleration":[86],"platform":[87],"(i.e.,":[88],"GPGPUs).":[89],"Our":[90],"key":[91],"insight":[92],"progressively":[94],"excavating":[95],"propagation":[99],"effect":[101],"mechanisms,":[102],"thereby":[103],"avoiding":[104],"blind":[105],"FI":[106],"trials.":[107],"Firstly,":[108],"observing":[109],"that":[110,150],"iterations":[111,130],"with":[112],"similar":[113,118],"active":[114],"vertex":[115],"set":[116],"exhibit":[117],"behavior,":[120],"we":[121,145,168],"propose":[122,146,169],"iteration-driven":[123],"GraphFI":[124,148,172,189],"(ID-GraphFI)":[125],"solely":[127],"select":[128],"representative":[129,153],"fast":[132],"profile":[135],"assessment.":[136],"Secondly,":[137],"by":[138,161,196],"detecting":[139],"resilience-similarity":[140],"communities":[141],"topology,":[144],"topology-driven":[147],"(TD-GraphFI)":[149],"only":[151],"selects":[152],"vertices":[154],"community":[156],"overall":[157],"evaluation.":[159],"Thirdly,":[160],"exploring":[162],"fault":[165,183,193],"monotonic":[166],"property,":[167],"monotonicity-driven":[171],"(MD-GraphFI)":[173],"granularly":[175],"draw":[176],"severe":[178],"boundaries":[180],"predictable/unnecessary":[182],"injection":[184],"avoidance.":[185],"Merging":[186],"them":[187],"all,":[188],"can":[190],"reduce":[191],"site":[194],"space":[195],"up":[197],"two":[199],"orders":[200],"magnitude,":[202],"which":[203],"achieves":[204],"$2.1":[205],"\\sim":[206],"15.2":[207],"\\times$":[208],"speedup":[209],"compared":[210],"SOTA":[212],"while":[214],"providing":[215],"better":[216],"assessment":[218],"accuracy.":[219]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
