{"id":"https://openalex.org/W4399347680","doi":"https://doi.org/10.1145/3626183.3659987","title":"A Framework for Parallelizing Approximate Gaussian Elimination","display_name":"A Framework for Parallelizing Approximate Gaussian Elimination","publication_year":2024,"publication_date":"2024-06-04","ids":{"openalex":"https://openalex.org/W4399347680","doi":"https://doi.org/10.1145/3626183.3659987"},"language":"en","primary_location":{"id":"doi:10.1145/3626183.3659987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626183.3659987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures","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/A5099019681","display_name":"Yves Baumann","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Yves Baumann","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0009-0002-6901-7479","affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053449713","display_name":"Rasmus Kyng","orcid":"https://orcid.org/0000-0002-8268-6258"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Rasmus Kyng","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-8268-6258","affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5099019681"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06094754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9937000274658203,"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":0.9937000274658203,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9905999898910522,"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/T10057","display_name":"Face and Expression Recognition","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7504152059555054},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4826684296131134},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4312777519226074},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0769096314907074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7504152059555054},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4826684296131134},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4312777519226074},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0769096314907074},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626183.3659987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626183.3659987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th ACM Symposium on Parallelism in Algorithms and Architectures","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":16,"referenced_works":["https://openalex.org/W1979505770","https://openalex.org/W2017322423","https://openalex.org/W2045107949","https://openalex.org/W2058706632","https://openalex.org/W2073772681","https://openalex.org/W2102560346","https://openalex.org/W2137798267","https://openalex.org/W2164853353","https://openalex.org/W2802440256","https://openalex.org/W2903686141","https://openalex.org/W2913063022","https://openalex.org/W2914612129","https://openalex.org/W2963324223","https://openalex.org/W3099866104","https://openalex.org/W3101386124","https://openalex.org/W4367369757"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"In":[0],"a":[1,9,51],"breakthrough":[2],"result,":[3,48],"Spielman":[4],"and":[5,28,45],"Teng":[6],"(2004)":[7],"developed":[8],"nearly-linear":[10],"time":[11],"solver":[12,56],"for":[13],"Laplacian":[14,55],"linear":[15],"equations,":[16],"i.e.":[17],"equations":[18],"where":[19],"the":[20,33,36],"coefficient":[21],"matrix":[22],"is":[23],"symmetric":[24],"with":[25],"non-negative":[26],"diagonals":[27],"zero":[29],"row":[30],"sums.":[31],"Since":[32],"development":[34],"of":[35],"Spielman-Teng":[37],"solver,":[38],"there":[39],"has":[40],"been":[41],"substantial":[42],"progress,":[43],"simplifying":[44],"improving":[46],"their":[47],"but":[49],"obtaining":[50],"fast":[52],"practical,":[53],"parallel":[54],"remains":[57],"an":[58],"open":[59],"problem.":[60]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}