{"id":"https://openalex.org/W4416384273","doi":"https://doi.org/10.1145/3754598.3754648","title":"pyGinkgo: A Sparse Linear Algebra Operator Framework for Python","display_name":"pyGinkgo: A Sparse Linear Algebra Operator Framework for Python","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W4416384273","doi":"https://doi.org/10.1145/3754598.3754648"},"language":"en","primary_location":{"id":"doi:10.1145/3754598.3754648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754648","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 54th International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3754598.3754648","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120413000","display_name":"Keshvi Tuteja","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Keshvi Tuteja","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2219-1616","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009254929","display_name":"Gregor Olenik","orcid":"https://orcid.org/0000-0002-0128-3933"},"institutions":[{"id":"https://openalex.org/I41121874","display_name":"Heilbronn University","ror":"https://ror.org/04g5gcg95","country_code":"DE","type":"education","lineage":["https://openalex.org/I41121874"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregor Olenik","raw_affiliation_strings":["Technical University of Munich, Heilbronn, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0128-3933","affiliations":[{"raw_affiliation_string":"Technical University of Munich, Heilbronn, Germany","institution_ids":["https://openalex.org/I41121874","https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120656845","display_name":"Roman Mishchuk","orcid":null},"institutions":[{"id":"https://openalex.org/I41121874","display_name":"Heilbronn University","ror":"https://ror.org/04g5gcg95","country_code":"DE","type":"education","lineage":["https://openalex.org/I41121874"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roman Mishchuk","raw_affiliation_strings":["Technical University of Munich, Heilbronn, Germany"],"raw_orcid":"https://orcid.org/0009-0002-2099-2898","affiliations":[{"raw_affiliation_string":"Technical University of Munich, Heilbronn, Germany","institution_ids":["https://openalex.org/I41121874","https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037751512","display_name":"Yu\u2010Hsiang Tsai","orcid":"https://orcid.org/0000-0001-5229-3739"},"institutions":[{"id":"https://openalex.org/I41121874","display_name":"Heilbronn University","ror":"https://ror.org/04g5gcg95","country_code":"DE","type":"education","lineage":["https://openalex.org/I41121874"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yu-Hsiang Tsai","raw_affiliation_strings":["Technical University of Munich, Heilbronn, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5229-3739","affiliations":[{"raw_affiliation_string":"Technical University of Munich, Heilbronn, Germany","institution_ids":["https://openalex.org/I41121874","https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067996051","display_name":"Markus G\u00f6tz","orcid":"https://orcid.org/0000-0002-2233-1041"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus G\u00f6tz","raw_affiliation_strings":["Helmholtz AI, Karlsruhe, Germany and Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2233-1041","affiliations":[{"raw_affiliation_string":"Helmholtz AI, Karlsruhe, Germany and Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030034618","display_name":"Achim Streit","orcid":"https://orcid.org/0000-0002-5065-469X"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Achim Streit","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5065-469X","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012133869","display_name":"Hartwig Anzt","orcid":"https://orcid.org/0000-0003-2177-952X"},"institutions":[{"id":"https://openalex.org/I41121874","display_name":"Heilbronn University","ror":"https://ror.org/04g5gcg95","country_code":"DE","type":"education","lineage":["https://openalex.org/I41121874"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Hartwig Anzt","raw_affiliation_strings":["Technical University of Munich, Heilbronn, Germany and University of Tennessee, Knoxville, USA"],"raw_orcid":"https://orcid.org/0000-0003-2177-952X","affiliations":[{"raw_affiliation_string":"Technical University of Munich, Heilbronn, Germany and University of Tennessee, Knoxville, USA","institution_ids":["https://openalex.org/I41121874","https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024295845","display_name":"Charlotte Debus","orcid":"https://orcid.org/0000-0002-7156-2022"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Charlotte Debus","raw_affiliation_strings":["Karlsruhe Institute of Technology, Kalsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7156-2022","affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Kalsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5120413000"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37974293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"753","last_page":"763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.17010000348091125,"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":0.17010000348091125,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.05570000037550926,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12846","display_name":"Ginkgo biloba and Cashew Applications","score":0.045099999755620956,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.9136999845504761},{"id":"https://openalex.org/keywords/linear-algebra","display_name":"Linear algebra","score":0.6970000267028809},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.6629999876022339},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5430999994277954},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5126000046730042},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.5031999945640564},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.34310001134872437},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.3163999915122986}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.9136999845504761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466999888420105},{"id":"https://openalex.org/C139352143","wikidata":"https://www.wikidata.org/wiki/Q82571","display_name":"Linear algebra","level":2,"score":0.6970000267028809},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.6629999876022339},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5430999994277954},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.45159998536109924},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4113999903202057},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.37049999833106995},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3693999946117401},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C163834973","wikidata":"https://www.wikidata.org/wiki/Q2004891","display_name":"Numerical linear algebra","level":3,"score":0.29330000281333923},{"id":"https://openalex.org/C76752949","wikidata":"https://www.wikidata.org/wiki/Q7607499","display_name":"Stencil","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27219998836517334},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C49766605","wikidata":"https://www.wikidata.org/wiki/Q207643","display_name":"Linear map","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3754598.3754648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754648","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 54th International Conference on Parallel Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.08230","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.08230","pdf_url":"https://arxiv.org/pdf/2510.08230","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3754598.3754648","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754648","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 54th International Conference on Parallel Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320332086","display_name":"Helmholtz Artificial Intelligence Cooperation Unit","ror":null},{"id":"https://openalex.org/F4320335125","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sparse":[0,129],"linear":[1,63],"algebra":[2,64],"is":[3],"a":[4,17,51,93,152],"cornerstone":[5],"of":[6,29],"many":[7],"scientific":[8,161],"computing":[9],"and":[10,27,45,53,72,83,92,95,111,134,160],"machine":[11,157],"learning":[12,158],"applications.":[13],"Python":[14,36,84,105,125],"has":[15],"become":[16],"popular":[18],"choice":[19],"for":[20,155],"these":[21],"applications":[22],"due":[23],"to":[24,56],"its":[25],"simplicity":[26],"ease":[28],"use.":[30],"Yet":[31],"high-performance":[32,61,80],"sparse":[33,62,156],"kernels":[34],"in":[35,39,127],"remain":[37],"limited":[38],"functionality,":[40],"especially":[41],"on":[42],"modern":[43],"CPU":[44],"GPU":[46],"architectures.":[47],"We":[48,99],"present":[49],"pyGinkgo,":[50],"lightweight":[52],"Pythonic":[54],"interface":[55],"the":[57,77],"Ginkgo":[58,144],"library,":[59],"offering":[60],"support":[65],"with":[66,142],"platform":[67],"portability":[68],"across":[69,114],"CUDA,":[70],"HIP,":[71],"OpenMP":[73],"backends.":[74],"pyGinkgo":[75,121,150],"bridges":[76],"gap":[78],"between":[79],"C++":[81,145],"backends":[82],"usability":[85],"by":[86],"exposing":[87],"Ginkgo\u2019s":[88],"capabilities":[89],"via":[90],"Pybind11":[91],"NumPy":[94],"PyTorch":[96,110],"compatible":[97],"interface.":[98],"benchmark":[100],"pyGinkgo\u2019s":[101],"performance":[102,140],"against":[103],"state-of-the-art":[104],"libraries":[106],"including":[107],"SciPy,":[108],"CuPy,":[109],"TensorFlow.":[112],"Results":[113],"hardware":[115],"from":[116],"different":[117],"vendors":[118],"demonstrate":[119],"that":[120],"consistently":[122],"outperforms":[123],"existing":[124],"tools":[126],"both":[128],"Matrix":[130],"Vector":[131],"(SpMV)":[132],"product":[133],"iterative":[135],"solver":[136],"performance,":[137],"while":[138],"maintaining":[139],"parity":[141],"native":[143],"code.":[146],"Our":[147],"work":[148],"positions":[149],"as":[151],"compelling":[153],"backend":[154],"models":[159],"workflows.":[162]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-11T00:00:00"}