{"id":"https://openalex.org/W4402172087","doi":"https://doi.org/10.1145/3670474.3685948","title":"PyHDL-Eval: An LLM Evaluation Framework for Hardware Design Using Python-Embedded DSLs","display_name":"PyHDL-Eval: An LLM Evaluation Framework for Hardware Design Using Python-Embedded DSLs","publication_year":2024,"publication_date":"2024-09-03","ids":{"openalex":"https://openalex.org/W4402172087","doi":"https://doi.org/10.1145/3670474.3685948"},"language":"en","primary_location":{"id":"doi:10.1145/3670474.3685948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670474.3685948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD","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/A5091660287","display_name":"Christopher Batten","orcid":"https://orcid.org/0000-0002-2835-667X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christopher Batten","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA and NVIDIA Corporation"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA and NVIDIA Corporation","institution_ids":["https://openalex.org/I4210127875","https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050270997","display_name":"Nathaniel Pinckney","orcid":"https://orcid.org/0000-0001-6159-8964"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel Pinckney","raw_affiliation_strings":["NVIDIA Corporation, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026362859","display_name":"Mingjie Liu","orcid":"https://orcid.org/0000-0002-3488-9763"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingjie Liu","raw_affiliation_strings":["NVIDIA Corporation, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029928585","display_name":"Haoxing Ren","orcid":"https://orcid.org/0000-0003-1028-3860"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoxing Ren","raw_affiliation_strings":["NVIDIA Corporation, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010156116","display_name":"Brucek Khailany","orcid":"https://orcid.org/0000-0002-7584-3489"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brucek Khailany","raw_affiliation_strings":["NVIDIA Corporation, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091660287"],"corresponding_institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4210127875"],"apc_list":null,"apc_paid":null,"fwci":2.9365,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92446223,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9975000023841858,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.9975000023841858,"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/T12810","display_name":"Real-time simulation and control systems","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.8469998836517334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7542887926101685},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.5970823764801025},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3878234624862671}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8469998836517334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542887926101685},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5970823764801025},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3878234624862671}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670474.3685948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670474.3685948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD","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":24,"referenced_works":["https://openalex.org/W1983394510","https://openalex.org/W2079751107","https://openalex.org/W2761973445","https://openalex.org/W2965552403","https://openalex.org/W2990912491","https://openalex.org/W3021531221","https://openalex.org/W3031264475","https://openalex.org/W3033664232","https://openalex.org/W3086820292","https://openalex.org/W4235641964","https://openalex.org/W4312108362","https://openalex.org/W4377865305","https://openalex.org/W4385952898","https://openalex.org/W4386794762","https://openalex.org/W4386875652","https://openalex.org/W4387559217","https://openalex.org/W4388555899","https://openalex.org/W4389156677","https://openalex.org/W4391211938","https://openalex.org/W4392972103","https://openalex.org/W4399144074","https://openalex.org/W4403023619","https://openalex.org/W6745521994","https://openalex.org/W6858189809"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W2207495067","https://openalex.org/W1906486629"],"abstract_inverted_index":{"Embedding":[0],"hardware":[1,15],"design":[2,34],"frameworks":[3],"within":[4],"Python":[5,68],"is":[6,22,169],"a":[7,40,81,181,190],"promising":[8],"technique":[9],"to":[10,30,79,118,130,146,160],"improve":[11,31],"the":[12,18,50,77,111,176,197],"productivity":[13],"of":[14,52,113,199],"engineers.":[16],"At":[17],"same":[19],"time,":[20],"there":[21],"significant":[23],"interest":[24],"in":[25,49],"using":[26,180],"large-language":[27],"models":[28,120],"(LLMs)":[29],"key":[32],"chip":[33],"tasks.":[35],"This":[36],"paper":[37],"describes":[38],"PyHDL-Eval,":[39],"new":[41],"framework":[42,58,78,192],"for":[43,124,140,166,193],"evaluating":[44],"LLMs":[45,87,152],"on":[46,132,148,171,175],"specification-to-RTL":[47],"tasks":[48],"context":[51],"Python-embedded":[53,100,135,161,177,200],"domain-specific":[54],"languages":[55],"(DSLs).":[56],"The":[57],"includes":[59],"168":[60],"problems,":[61],"Verilog":[62,65,97,157,172],"reference":[63],"solutions,":[64],"test":[66,69],"benches,":[67],"scripts,":[70],"and":[71,93,98,106,134,173,202],"workflow":[72],"orchestration":[73],"scripts.":[74],"We":[75,150],"use":[76],"conduct":[80],"detailed":[82],"case":[83],"study":[84],"comparing":[85],"five":[86,99],"(CodeGemma":[88],"7B,":[89],"Llama3":[90],"8B/70B,":[91],"GPT4,":[92],"GPT4":[94,167],"Turbo)":[95],"targeting":[96,156],"DSLs":[101,136,162,201],"(PyMTL3,":[102],"PyRTL,":[103],"MyHDL,":[104],"Migen,":[105],"Amaranth).":[107],"Our":[108],"results":[109],"demonstrate":[110],"promise":[112],"in-context":[114],"learning":[115],"when":[116,155],"applied":[117],"smaller":[119],"(e.g.,":[121,137,163],"pass":[122,138,164],"rate":[123,139,165],"CodeGemma":[125],"7B":[126],"improves":[127,143],"from":[128,144],"14.9%":[129],"32.7%":[131],"Verilog)":[133],"LLama3":[141],"70B":[142],"0.6%":[145],"33.0%":[147],"PyMTL3).":[149],"find":[151],"perform":[153],"better":[154],"as":[158,189],"compared":[159],"Turbo":[168],"72.2%":[170],"29.8-62.0%":[174],"DSLs)":[178],"despite":[179],"popular":[182],"general-purpose":[183],"host":[184],"language.":[185],"PyHDL-Eval":[186],"will":[187],"serve":[188],"useful":[191],"future":[194],"research":[195],"at":[196],"intersection":[198],"LLMs.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}