{"id":"https://openalex.org/W4413922150","doi":"https://doi.org/10.1145/3748273.3749211","title":"MLSynth: Towards Synthetic ML Traces","display_name":"MLSynth: Towards Synthetic ML Traces","publication_year":2025,"publication_date":"2025-09-02","ids":{"openalex":"https://openalex.org/W4413922150","doi":"https://doi.org/10.1145/3748273.3749211"},"language":"en","primary_location":{"id":"doi:10.1145/3748273.3749211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748273.3749211","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Networks for AI Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3748273.3749211","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119420153","display_name":"Adel Sefiane","orcid":null},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Adel Sefiane","raw_affiliation_strings":["Imperial College London, London, UK, NVIDIA, Roskilde, Denmark"],"raw_orcid":"https://orcid.org/0009-0008-2303-3979","affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK, NVIDIA, Roskilde, Denmark","institution_ids":["https://openalex.org/I1304085615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066610907","display_name":"Alireza Farshin","orcid":"https://orcid.org/0000-0001-5083-4052"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alireza Farshin","raw_affiliation_strings":["NVIDIA, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0000-0001-5083-4052","affiliations":[{"raw_affiliation_string":"NVIDIA, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055457000","display_name":"Marios Kogias","orcid":"https://orcid.org/0009-0006-7034-5284"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marios Kogias","raw_affiliation_strings":["Imperial College London, London, UK"],"raw_orcid":"https://orcid.org/0009-0006-7034-5284","affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3539367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9740999937057495,"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":0.586612343788147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.586612343788147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748273.3749211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748273.3749211","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Networks for AI Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3748273.3749211","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748273.3749211","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Networks for AI Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2973727699","https://openalex.org/W4235732943","https://openalex.org/W4287235399","https://openalex.org/W4327810158","https://openalex.org/W4378470669","https://openalex.org/W4381886086","https://openalex.org/W4390529129","https://openalex.org/W4400682099","https://openalex.org/W4401176521","https://openalex.org/W4401306886","https://openalex.org/W4402389838","https://openalex.org/W4402857010","https://openalex.org/W4403578405","https://openalex.org/W4404240318","https://openalex.org/W4415085975","https://openalex.org/W6948074593"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"AI":[0,70],"infrastructure":[1],"continues":[2],"to":[3,6,15,114],"grow":[4],"rapidly":[5],"meet":[7],"the":[8,29],"escalating":[9],"demand":[10],"for":[11,59,66],"compute":[12],"power":[13],"required":[14],"train":[16],"and":[17,31,39,47,97],"inference":[18],"increasingly":[19],"capable":[20],"models.":[21],"This":[22,53],"growth":[23],"brings":[24],"significant":[25],"challenges":[26,38],"in":[27],"both":[28],"design":[30],"operation":[32],"of":[33,69,83,94],"ML":[34,61,84,117],"pipelines.":[35],"Exploring":[36],"these":[37],"evaluating":[40],"potential":[41],"solutions":[42],"can":[43,105],"be":[44,106],"prohibitively":[45],"expensive":[46],"time-consuming":[48],"without":[49],"effective":[50],"simulation":[51,110],"tools.":[52],"paper":[54],"introduces":[55],"MLSynth,":[56],"a":[57,80],"framework":[58],"synthesising":[60],"workloads,":[62],"which":[63],"is":[64],"essential":[65],"meaningful":[67],"benchmarking":[68],"infrastructure.":[71],"More":[72],"specifically,":[73],"MLSynth":[74],"allows":[75],"researchers":[76],"to:":[77],"(i)":[78],"define":[79],"wide":[81],"range":[82],"models":[85],"with":[86,108],"different":[87],"parallelisation":[88],"strategies,":[89],"(ii)":[90],"explore":[91],"various":[92],"sources":[93],"performance":[95],"variability,":[96],"(iii)":[98],"generate":[99],"synthetic":[100],"Chakra":[101],"execution":[102],"traces":[103],"that":[104],"used":[107],"existing":[109],"frameworks":[111],"(e.g.,":[112],"ASTRA-Sim)":[113],"comprehensively":[115],"model":[116],"workloads.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}