{"id":"https://openalex.org/W4280489237","doi":"https://doi.org/10.1109/hpca53966.2022.00065","title":"MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores","display_name":"MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores","publication_year":2022,"publication_date":"2022-04-01","ids":{"openalex":"https://openalex.org/W4280489237","doi":"https://doi.org/10.1109/hpca53966.2022.00065"},"language":"en","primary_location":{"id":"doi:10.1109/hpca53966.2022.00065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca53966.2022.00065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5035130804","display_name":"Sheng-Chun Kao","orcid":"https://orcid.org/0000-0001-7928-9027"},"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":"Sheng-Chun Kao","raw_affiliation_strings":["Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","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"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035130804"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":4.9941,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96481767,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"814","last_page":"830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9994000196456909,"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/T12676","display_name":"Machine Learning and ELM","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7106200456619263},{"id":"https://openalex.org/keywords/magma","display_name":"Magma","score":0.5162803530693054},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46627146005630493},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.45725128054618835},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.41541939973831177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27520203590393066},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14909455180168152},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1366456151008606},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12524151802062988},{"id":"https://openalex.org/keywords/volcano","display_name":"Volcano","score":0.07189255952835083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7106200456619263},{"id":"https://openalex.org/C183222429","wikidata":"https://www.wikidata.org/wiki/Q42278","display_name":"Magma","level":3,"score":0.5162803530693054},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46627146005630493},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.45725128054618835},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41541939973831177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27520203590393066},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14909455180168152},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1366456151008606},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12524151802062988},{"id":"https://openalex.org/C120806208","wikidata":"https://www.wikidata.org/wiki/Q8072","display_name":"Volcano","level":2,"score":0.07189255952835083},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpca53966.2022.00065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca53966.2022.00065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA)","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":129,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W110612056","https://openalex.org/W1686810756","https://openalex.org/W1970311014","https://openalex.org/W1988469550","https://openalex.org/W2094756095","https://openalex.org/W2097117768","https://openalex.org/W2099956623","https://openalex.org/W2113207845","https://openalex.org/W2124903056","https://openalex.org/W2133314472","https://openalex.org/W2152195021","https://openalex.org/W2163605009","https://openalex.org/W2169741774","https://openalex.org/W2170731539","https://openalex.org/W2194775991","https://openalex.org/W2289252105","https://openalex.org/W2294282016","https://openalex.org/W2294798173","https://openalex.org/W2442974303","https://openalex.org/W2466675884","https://openalex.org/W2475334473","https://openalex.org/W2510156930","https://openalex.org/W2546571074","https://openalex.org/W2594928698","https://openalex.org/W2596367596","https://openalex.org/W2604514113","https://openalex.org/W2605350416","https://openalex.org/W2606722458","https://openalex.org/W2612076670","https://openalex.org/W2622148586","https://openalex.org/W2625954420","https://openalex.org/W2723293840","https://openalex.org/W2724359148","https://openalex.org/W2736601468","https://openalex.org/W2754941607","https://openalex.org/W2755738839","https://openalex.org/W2778749116","https://openalex.org/W2779977383","https://openalex.org/W2786320458","https://openalex.org/W2798956872","https://openalex.org/W2889893643","https://openalex.org/W2890557332","https://openalex.org/W2896457183","https://openalex.org/W2899441512","https://openalex.org/W2914120296","https://openalex.org/W2940862705","https://openalex.org/W2947737663","https://openalex.org/W2962739339","https://openalex.org/W2962745591","https://openalex.org/W2963163009","https://openalex.org/W2963918968","https://openalex.org/W2964043796","https://openalex.org/W2964110616","https://openalex.org/W2964350391","https://openalex.org/W2965373594","https://openalex.org/W2968986602","https://openalex.org/W2970597249","https://openalex.org/W2973049837","https://openalex.org/W2974215621","https://openalex.org/W2979872424","https://openalex.org/W2980810797","https://openalex.org/W2982157693","https://openalex.org/W2986154550","https://openalex.org/W2999084114","https://openalex.org/W2999171747","https://openalex.org/W3015397983","https://openalex.org/W3016892718","https://openalex.org/W3016939927","https://openalex.org/W3032532958","https://openalex.org/W3034999214","https://openalex.org/W3035390927","https://openalex.org/W3036260642","https://openalex.org/W3036878841","https://openalex.org/W3042495273","https://openalex.org/W3043406639","https://openalex.org/W3043433718","https://openalex.org/W3044182804","https://openalex.org/W3101026687","https://openalex.org/W3102790199","https://openalex.org/W3103682594","https://openalex.org/W3112293503","https://openalex.org/W3177865674","https://openalex.org/W3192336523","https://openalex.org/W4238076109","https://openalex.org/W4244024631","https://openalex.org/W4250503569","https://openalex.org/W4287667694","https://openalex.org/W4287824654","https://openalex.org/W4288089799","https://openalex.org/W4288601955","https://openalex.org/W4289276774","https://openalex.org/W4295838474","https://openalex.org/W4299968636","https://openalex.org/W6604455612","https://openalex.org/W6637373629","https://openalex.org/W6642760193","https://openalex.org/W6677088747","https://openalex.org/W6684191040","https://openalex.org/W6692846177","https://openalex.org/W6735641298","https://openalex.org/W6740474667","https://openalex.org/W6741002519","https://openalex.org/W6744198092","https://openalex.org/W6746622358","https://openalex.org/W6747092830","https://openalex.org/W6748324931","https://openalex.org/W6754324562","https://openalex.org/W6754364265","https://openalex.org/W6755207826","https://openalex.org/W6756580189","https://openalex.org/W6758143911","https://openalex.org/W6759455113","https://openalex.org/W6763701032","https://openalex.org/W6763737044","https://openalex.org/W6766673545","https://openalex.org/W6767615474","https://openalex.org/W6768028577","https://openalex.org/W6769263558","https://openalex.org/W6769311223","https://openalex.org/W6769627184","https://openalex.org/W6770131634","https://openalex.org/W6771509786","https://openalex.org/W6771626834","https://openalex.org/W6771917389","https://openalex.org/W6779679226","https://openalex.org/W6783267081","https://openalex.org/W6785783668","https://openalex.org/W6798149751"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W2390279801","https://openalex.org/W3125814499"],"abstract_inverted_index":{"As":[0],"Deep":[1],"Learning":[2],"continues":[3],"to":[4,92],"drive":[5],"a":[6,18,83],"variety":[7],"of":[8,35,48],"applications":[9],"in":[10],"edge":[11],"and":[12,72,107,117,122],"cloud":[13],"data":[14],"centers,":[15],"there":[16],"is":[17],"growing":[19],"trend":[20],"towards":[21],"building":[22],"large":[23,61],"accelerators":[24],"with":[25,89,101],"several":[26,52,102],"sub-accelerator":[27,119],"cores/chiplets.":[28],"This":[29],"work":[30],"looks":[31],"at":[32],"the":[33,46,59,66],"problem":[34,47,71],"supporting":[36],"multi-tenancy":[37],"on":[38,45,55],"such":[39],"accelerators.":[40],"In":[41,79],"particular,":[42],"we":[43,64,81],"focus":[44],"mapping":[49],"jobs":[50],"from":[51],"DNNs":[53],"simultaneously":[54],"an":[56,69,74],"accelerator.":[57],"Given":[58],"extremely":[60],"search":[62,67],"space,":[63],"formulate":[65],"as":[68],"optimization":[70,75,85],"develop":[73,82],"framework":[76],"called":[77,87],"M3E.":[78],"addition,":[80],"specialized":[84],"algorithm":[86],"MAGMA":[88,100,124],"custom":[90],"operators":[91],"enable":[93],"structured":[94],"sampleefficient":[95],"exploration.":[96],"We":[97],"quantitatively":[98],"compare":[99],"state-of-the-art":[103],"methods,":[104],"black-box":[105],"optimization,":[106],"reinforcement":[108],"learning":[109],"methods":[110],"across":[111],"different":[112,118],"accelerator":[113],"settings":[114],"(large/small":[115],"accelerators)":[116],"configurations":[120],"(homogeneous/heterogeneous),":[121],"observe":[123],"can":[125],"consistently":[126],"find":[127],"better":[128],"mappings.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}