{"id":"https://openalex.org/W4388820941","doi":"https://doi.org/10.1109/ats59501.2023.10317981","title":"A Case Study on Formally Verifying an Open-source Deep Learning Accelerator Design","display_name":"A Case Study on Formally Verifying an Open-source Deep Learning Accelerator Design","publication_year":2023,"publication_date":"2023-10-14","ids":{"openalex":"https://openalex.org/W4388820941","doi":"https://doi.org/10.1109/ats59501.2023.10317981"},"language":"en","primary_location":{"id":"doi:10.1109/ats59501.2023.10317981","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ats59501.2023.10317981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 32nd Asian Test Symposium (ATS)","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/A5005587539","display_name":"Anshul Jain","orcid":"https://orcid.org/0000-0003-1647-5142"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anshul Jain","raw_affiliation_strings":["Indian Institute of Technology Jodhpur (IITJ),Rajasthan,India","Indian Institute of Technology Jodhpur (IITJ), Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur (IITJ),Rajasthan,India","institution_ids":["https://openalex.org/I154549908"]},{"raw_affiliation_string":"Indian Institute of Technology Jodhpur (IITJ), Rajasthan, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100712187","display_name":"B\u0131nod Kumar","orcid":"https://orcid.org/0000-0002-6172-7938"},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Binod Kumar","raw_affiliation_strings":["Indian Institute of Technology Jodhpur (IITJ),Rajasthan,India","Indian Institute of Technology Jodhpur (IITJ), Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Jodhpur (IITJ),Rajasthan,India","institution_ids":["https://openalex.org/I154549908"]},{"raw_affiliation_string":"Indian Institute of Technology Jodhpur (IITJ), Rajasthan, India","institution_ids":["https://openalex.org/I154549908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005587539"],"corresponding_institution_ids":["https://openalex.org/I154549908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15014408,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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/T11424","display_name":"Security and Verification in Computing","score":0.9970999956130981,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/correctness","display_name":"Correctness","score":0.910400390625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8119235634803772},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.712669849395752},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.610423743724823},{"id":"https://openalex.org/keywords/formal-verification","display_name":"Formal verification","score":0.5870345830917358},{"id":"https://openalex.org/keywords/formal-methods","display_name":"Formal methods","score":0.5658730268478394},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5189923644065857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5175729990005493},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.4998204708099365},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.4324713349342346}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.910400390625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8119235634803772},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.712669849395752},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.610423743724823},{"id":"https://openalex.org/C111498074","wikidata":"https://www.wikidata.org/wiki/Q173326","display_name":"Formal verification","level":2,"score":0.5870345830917358},{"id":"https://openalex.org/C75606506","wikidata":"https://www.wikidata.org/wiki/Q1049183","display_name":"Formal methods","level":2,"score":0.5658730268478394},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5189923644065857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5175729990005493},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4998204708099365},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.4324713349342346},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ats59501.2023.10317981","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ats59501.2023.10317981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 32nd Asian Test Symposium (ATS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3033257317","https://openalex.org/W3142170088"],"related_works":["https://openalex.org/W2111870610","https://openalex.org/W1937494301","https://openalex.org/W161255303","https://openalex.org/W1544097700","https://openalex.org/W1488573418","https://openalex.org/W2152752131","https://openalex.org/W1922520186","https://openalex.org/W1946493810","https://openalex.org/W2391979747","https://openalex.org/W2981877881"],"abstract_inverted_index":{"Deep":[0],"learning":[1,60],"accelerators":[2,17],"play":[3],"a":[4,33,52],"crucial":[5],"role":[6],"in":[7],"accelerating":[8],"the":[9,39,67],"performance":[10],"of":[11,55,73],"deep":[12,59],"neural":[13],"networks.":[14],"As":[15],"these":[16],"become":[18],"more":[19],"complex,":[20],"ensuring":[21],"their":[22],"correctness":[23],"and":[24,41,71],"reliability":[25],"becomes":[26],"increasingly":[27],"challenging.":[28],"Formal":[29],"verification":[30,77],"techniques":[31],"offer":[32],"systematic":[34],"approach":[35],"to":[36],"rigorously":[37],"validate":[38],"design":[40,62],"verify":[42],"its":[43],"functional":[44],"correctness.":[45],"In":[46],"this":[47],"case":[48],"study,":[49],"we":[50],"present":[51],"detailed":[53],"analysis":[54],"verifying":[56],"an":[57,74],"open-source":[58],"accelerator":[61],"(at":[63],"RTL":[64],"abstraction),":[65],"highlighting":[66],"methodology,":[68],"challenges,":[69],"steps":[70],"outcomes":[72],"enhanced":[75],"formal":[76],"process.":[78]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}