{"id":"https://openalex.org/W4409714147","doi":"https://doi.org/10.1145/3723851.3723853","title":"Towards Memory Disaggregation via NVLink C2C: Benchmarking CPU-Requested GPU Memory Access","display_name":"Towards Memory Disaggregation via NVLink C2C: Benchmarking CPU-Requested GPU Memory Access","publication_year":2025,"publication_date":"2025-03-30","ids":{"openalex":"https://openalex.org/W4409714147","doi":"https://doi.org/10.1145/3723851.3723853"},"language":"en","primary_location":{"id":"doi:10.1145/3723851.3723853","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723851.3723853","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723851.3723853","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 4th Workshop on Heterogeneous Composable and Disaggregated Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3723851.3723853","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117270714","display_name":"Felix Werner","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Werner","raw_affiliation_strings":["HPI, University of Potsdam, Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"HPI, University of Potsdam, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014868870","display_name":"Marcel Weisgut","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Weisgut","raw_affiliation_strings":["HPI, University of Potsdam, Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"HPI, University of Potsdam, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002030730","display_name":"Tilmann Rabl","orcid":"https://orcid.org/0009-0009-3335-8045"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tilmann Rabl","raw_affiliation_strings":["HPI, University of Potsdam, Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"HPI, University of Potsdam, Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5117270714"],"corresponding_institution_ids":["https://openalex.org/I176453806"],"apc_list":null,"apc_paid":null,"fwci":8.6674,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97419222,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9998999834060669,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7469801902770996},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7202800512313843},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.5351840853691101},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.506700336933136},{"id":"https://openalex.org/keywords/random-access-memory","display_name":"Random access memory","score":0.4440072178840637},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.42289048433303833},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.40235865116119385},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.37074676156044006},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2721053957939148},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.21306201815605164},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.057599157094955444}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469801902770996},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7202800512313843},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.5351840853691101},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.506700336933136},{"id":"https://openalex.org/C2994168587","wikidata":"https://www.wikidata.org/wiki/Q5295","display_name":"Random access memory","level":2,"score":0.4440072178840637},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.42289048433303833},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.40235865116119385},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37074676156044006},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2721053957939148},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.21306201815605164},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.057599157094955444},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3723851.3723853","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723851.3723853","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723851.3723853","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 4th Workshop on Heterogeneous Composable and Disaggregated Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3723851.3723853","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723851.3723853","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723851.3723853","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 4th Workshop on Heterogeneous Composable and Disaggregated Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2577988311","display_name":null,"funder_award_id":"41498402","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G3591100483","display_name":null,"funder_award_id":"414984028","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G4956428346","display_name":null,"funder_award_id":"Horizon 2020 research and innovatio","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7497895051","display_name":null,"funder_award_id":"14984028","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7507309883","display_name":"Integrated Data Analysis Pipelines for Large-Scale Data Management, HPC, and Machine Learning","funder_award_id":"957407","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8318064016","display_name":null,"funder_award_id":"Horizon","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409714147.pdf","grobid_xml":"https://content.openalex.org/works/W4409714147.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2056639008","https://openalex.org/W2433709474","https://openalex.org/W2806177084","https://openalex.org/W2811111775","https://openalex.org/W2989038266","https://openalex.org/W2992252352","https://openalex.org/W3028661980","https://openalex.org/W4281759565","https://openalex.org/W4282554945","https://openalex.org/W4308968707","https://openalex.org/W4312757686","https://openalex.org/W4323338773","https://openalex.org/W4381611599","https://openalex.org/W4382394515","https://openalex.org/W4387064022","https://openalex.org/W4399163533"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"Memory":[0],"disaggregation":[1],"decouples":[2],"compute":[3],"and":[4,42,44,48,93,112,115,138,145],"memory":[5,19,38,81,89,96,104,114],"resources,":[6],"enabling":[7],"efficient":[8],"use":[9,24,30],"of":[10,25,74,119,133],"resources.Several":[11],"interconnect":[12],"technologies":[13],"provide":[14],"cache-coherent":[15,37],"access":[16,39,139],"to":[17,53,63,84,135],"remote":[18],"regions,":[20],"which":[21,35],"eases":[22],"the":[23,31,72,107,117],"disaggregated":[26],"memory.Recent":[27],"NVIDIAbased":[28],"systems":[29],"NVLink":[32,49,83],"C2C":[33],"interconnect,":[34],"provides":[36],"between":[40,141],"CPUs":[41],"GPUs":[43,47],"their":[45],"memory.While":[46],"are":[50],"widely":[51],"used":[52],"accelerate":[54],"complex":[55],"workloads,":[56],"NVLink's":[57,86],"viability":[58,87],"for":[59,88,95],"connecting":[60],"memoryexpansion":[61],"devices":[62],"a":[64,131],"CPU":[65,77,108,111],"remains":[66],"unexplored.In":[67],"this":[68],"work,":[69],"we":[70],"quantify":[71,116],"characteristics":[73],"NVIDIA's":[75],"Grace":[76],"when":[78,106],"accessing":[79],"GPU":[80,113,127],"via":[82],"assess":[85],"expansion.We":[90],"benchmark":[91],"throughput":[92,132],"latency":[94],"accesses":[97,109],"on":[98],"an":[99],"NVIDIA":[100],"Grace-Hopper":[101],"system.We":[102],"evaluate":[103],"expansion":[105],"both":[110],"performance":[118],"database":[120],"index":[121],"operations":[122],"with":[123],"data":[124],"stored":[125],"in":[126],"memory.Our":[128],"experiments":[129],"show":[130],"up":[134],"168":[136],"GB/s":[137],"latencies":[140],"about":[142],"800":[143],"ns":[144],"1000":[146],"ns.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
