{"id":"https://openalex.org/W4409248730","doi":"https://doi.org/10.1109/hpca61900.2025.00064","title":"CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design","display_name":"CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4409248730","doi":"https://doi.org/10.1109/hpca61900.2025.00064"},"language":"en","primary_location":{"id":"doi:10.1109/hpca61900.2025.00064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca61900.2025.00064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on High Performance Computer Architecture (HPCA)","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/A5076856438","display_name":"Zishen Wan","orcid":"https://orcid.org/0000-0002-2982-5351"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zishen Wan","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102786052","display_name":"Hanchen Yang","orcid":"https://orcid.org/0009-0005-6074-8357"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanchen Yang","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078314931","display_name":"Ritik Raj","orcid":"https://orcid.org/0009-0005-1853-6107"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ritik Raj","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078948242","display_name":"Che-Kai Liu","orcid":"https://orcid.org/0009-0003-9604-3987"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Che-Kai Liu","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007782265","display_name":"Ananda Samajdar","orcid":"https://orcid.org/0000-0003-0046-3745"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ananda Samajdar","raw_affiliation_strings":["IBM Research, Yorktown Heights,NY"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights,NY","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091408102","display_name":"Arijit Raychowdhury","orcid":"https://orcid.org/0000-0001-8391-0576"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arijit Raychowdhury","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034089074","display_name":"Tushar Krishna","orcid":"https://orcid.org/0000-0001-5738-6942"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tushar Krishna","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5076856438"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":11.3805,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97911168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"775","last_page":"789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9305999875068665,"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/T10320","display_name":"Neural Networks and Applications","score":0.9305999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7392106652259827},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6699686050415039},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.5098497271537781},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5015096664428711},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.40397483110427856},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3887673616409302},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3319547772407532},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3291657567024231},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10279229283332825},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0733831524848938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7392106652259827},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6699686050415039},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.5098497271537781},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5015096664428711},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.40397483110427856},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3887673616409302},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3319547772407532},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3291657567024231},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10279229283332825},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0733831524848938},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpca61900.2025.00064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca61900.2025.00064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on High Performance Computer Architecture (HPCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":88,"referenced_works":["https://openalex.org/W2107647130","https://openalex.org/W2167876429","https://openalex.org/W2289252105","https://openalex.org/W2518511512","https://openalex.org/W2608347258","https://openalex.org/W2798956872","https://openalex.org/W2883847355","https://openalex.org/W2883929540","https://openalex.org/W2885981521","https://openalex.org/W2888313207","https://openalex.org/W2963690694","https://openalex.org/W2980104813","https://openalex.org/W3012178976","https://openalex.org/W3035758390","https://openalex.org/W3036878841","https://openalex.org/W3046908298","https://openalex.org/W3092209569","https://openalex.org/W3092731680","https://openalex.org/W3099458570","https://openalex.org/W3113149630","https://openalex.org/W3117577445","https://openalex.org/W3154009503","https://openalex.org/W3175768685","https://openalex.org/W3176187895","https://openalex.org/W3185702163","https://openalex.org/W3190062760","https://openalex.org/W3198377975","https://openalex.org/W3202013896","https://openalex.org/W3207326900","https://openalex.org/W3213097409","https://openalex.org/W3213528054","https://openalex.org/W3216178672","https://openalex.org/W4221140087","https://openalex.org/W4251468530","https://openalex.org/W4281792301","https://openalex.org/W4283709177","https://openalex.org/W4285309026","https://openalex.org/W4292387453","https://openalex.org/W4293024984","https://openalex.org/W4304202640","https://openalex.org/W4308083930","https://openalex.org/W4308481194","https://openalex.org/W4309674289","https://openalex.org/W4360606223","https://openalex.org/W4360977202","https://openalex.org/W4361802179","https://openalex.org/W4362459302","https://openalex.org/W4379115979","https://openalex.org/W4380874786","https://openalex.org/W4380875731","https://openalex.org/W4380881154","https://openalex.org/W4385768082","https://openalex.org/W4386071687","https://openalex.org/W4386075724","https://openalex.org/W4386142022","https://openalex.org/W4386328210","https://openalex.org/W4389727268","https://openalex.org/W4389850796","https://openalex.org/W4390940921","https://openalex.org/W4392272046","https://openalex.org/W4394999049","https://openalex.org/W4396833976","https://openalex.org/W4400681438","https://openalex.org/W4401416203","https://openalex.org/W4401568189","https://openalex.org/W4401568544","https://openalex.org/W4402592760","https://openalex.org/W4404102073","https://openalex.org/W4404132964","https://openalex.org/W6752056529","https://openalex.org/W6757902542","https://openalex.org/W6758262585","https://openalex.org/W6767840687","https://openalex.org/W6768853884","https://openalex.org/W6785783668","https://openalex.org/W6791353385","https://openalex.org/W6810673938","https://openalex.org/W6839026099","https://openalex.org/W6843121637","https://openalex.org/W6859072205","https://openalex.org/W6859334485","https://openalex.org/W6860907281","https://openalex.org/W6863126066","https://openalex.org/W6869986274","https://openalex.org/W6870292798","https://openalex.org/W6870598901","https://openalex.org/W6874382589","https://openalex.org/W6983703557"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W4401278057","https://openalex.org/W2132996594"],"abstract_inverted_index":{"Neurosymbolic":[0],"AI":[1,80],"is":[2,49],"an":[3,97,148],"emerging":[4],"compositional":[5],"paradigm":[6],"that":[7],"fuses":[8],"neural":[9,170],"learning":[10],"with":[11,117,131,183,230],"symbolic":[12,172],"reasoning":[13,87,218,228],"to":[14,52,64,78,84,101,153,205],"enhance":[15,158],"the":[16,36,92,108,143,192,211],"transparency,":[17],"interpretability,":[18],"and":[19,39,59,74,89,104,126,138,157,171,174,207,234],"trustworthiness":[20],"of":[21],"AI.":[22],"It":[23],"also":[24],"exhibits":[25,175],"higher":[26,53],"data":[27],"efficiency":[28,88],"making":[29],"it":[30],"promising":[31],"for":[32,135,169],"edge":[33,208],"deployments.":[34],"Despite":[35],"algorithmic":[37],"promises":[38],"demonstrations,":[40],"unfortunately":[41],"executing":[42],"neurosymbolic":[43,79,115,140],"workloads":[44],"on":[45],"current":[46],"hardware":[47,66,109],"(CPU/GPU/TPU)":[48],"challenging":[50],"due":[51],"memory":[54,105],"intensity,":[55],"greater":[56],"compute":[57,103],"heterogeneity":[58],"access":[60],"pattern":[61],"irregularity,":[62],"leading":[63],"severe":[65],"underutilization.":[67],"This":[68],"work":[69],"proposes":[70,96,112],"CogSys,":[71],"a":[72,113],"characterization":[73],"co-design":[75],"framework":[76],"dedicated":[77],"system":[81,144],"acceleration,":[82],"aiming":[83],"win":[85],"both":[86],"scalability.":[90],"On":[91,107,142],"algorithm":[93],"side,":[94,110,145],"CogSys":[95,111,146,165,197,214],"efficient":[98,139],"factorization":[99],"technique":[100],"alleviate":[102],"overhead.":[106],"scalable":[114],"architecture":[116],"reconfigurable":[118,167],"neuro/symbolic":[119],"processing":[120],"elements":[121],"($n":[122],"s":[123,226],"P":[124],"E$)":[125],"bubble":[127],"streaming":[128],"(BS)":[129],"dataflow":[130],"spatial-temporal":[132],"(ST)":[133],"mapping":[134],"highly":[136],"parallel":[137],"computation.":[141],"features":[147],"adaptive":[149],"workload-aware":[150],"scheduler":[151],"(adSCH)":[152],"orchestrate":[154],"heterogeneous":[155],"kernels":[156,173],"resource":[159],"utilization.":[160],"Evaluated":[161],"across":[162],"cognitive":[163],"workloads,":[164],"enables":[166,215],"support":[168],"$\\gt75":[176],"\\times$":[177,200,202],"speedup":[178,203],"over":[179],"TPU-like":[180],"systolic":[181],"array":[182],"only":[184,224],"$\\lt5":[185],"\\%$":[186],"area":[187,233],"overhead,":[188],"as":[189],"benchmarked":[190],"under":[191],"TSMC":[193],"28nm":[194],"technology":[195],"node.":[196],"achieves":[198],"$4":[199,231],"$96":[201],"compared":[204],"desktop":[206],"GPUs.":[209],"For":[210],"first":[212],"time,":[213],"real-time":[216],"abduction":[217],"towards":[219],"human":[220],"fluid":[221],"intelligence,":[222],"requiring":[223],"0.3":[225],"per":[227],"task":[229],"\\mathrm{~mm}^{2}$":[232],"1.48":[235],"W":[236],"power":[237],"consumption.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
