{"id":"https://openalex.org/W4401947014","doi":"https://doi.org/10.25080/kjfv4144","title":"High-Performance Code Generation Using CorePy","display_name":"High-Performance Code Generation Using CorePy","publication_year":2009,"publication_date":"2009-08-18","ids":{"openalex":"https://openalex.org/W4401947014","doi":"https://doi.org/10.25080/kjfv4144"},"language":"en","primary_location":{"id":"doi:10.25080/kjfv4144","doi":"https://doi.org/10.25080/kjfv4144","is_oa":true,"landing_page_url":"http://dx.doi.org/10.25080/kjfv4144","pdf_url":"https://proceedings.scipy.org/articles/KJFV4144.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Python in Science Conference","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://proceedings.scipy.org/articles/KJFV4144.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034962826","display_name":"Andrew Friedley","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Friedley","raw_affiliation_strings":["Indiana University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University, USA","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089432328","display_name":"Christopher Mueller","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Mueller","raw_affiliation_strings":["Indiana University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University, USA","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074260102","display_name":"Andrew Lumsdaine","orcid":"https://orcid.org/0000-0002-9153-6622","observed_orcids":["https://orcid.org/0000-0002-9153-6622"]},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Lumsdaine","raw_affiliation_strings":["Indiana University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indiana University, USA","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":0.36,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4900642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"23","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.8374000191688538,"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":0.8374000191688538,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.1453000009059906,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10126","display_name":"Logic, programming, and type systems","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/python-code-generation","display_name":"Python code generation","score":0.5929999947547913},{"id":"https://openalex.org/keywords/python-performance","display_name":"Python performance","score":0.4259999990463257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6781777143478394},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43552541732788086},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.42119234800338745},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3667764365673065},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1918545365333557},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.25080/kjfv4144","doi":"https://doi.org/10.25080/kjfv4144","is_oa":true,"landing_page_url":"http://dx.doi.org/10.25080/kjfv4144","pdf_url":"https://proceedings.scipy.org/articles/KJFV4144.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Python in Science Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.25080/kjfv4144","doi":"https://doi.org/10.25080/kjfv4144","is_oa":true,"landing_page_url":"http://dx.doi.org/10.25080/kjfv4144","pdf_url":"https://proceedings.scipy.org/articles/KJFV4144.pdf","source":{"id":"https://openalex.org/S4220651651","display_name":"Proceedings of the Python in Science Conferences","issn_l":"2575-9752","issn":["2575-9752"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 Python in Science Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307758","display_name":"Eli Lilly and Company","ror":"https://ror.org/01qat3289"},{"id":"https://openalex.org/F4320309409","display_name":"Lilly Endowment","ror":"https://ror.org/00cpsd622"},{"id":"https://openalex.org/F4320310145","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401947014.pdf","grobid_xml":"https://content.openalex.org/works/W4401947014.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7026619451","https://openalex.org/W4247478167","https://openalex.org/W4384833506","https://openalex.org/W80774127","https://openalex.org/W4401946630","https://openalex.org/W2146292423","https://openalex.org/W2741188292","https://openalex.org/W2402159496","https://openalex.org/W2756129572","https://openalex.org/W4321637133"],"abstract_inverted_index":{"Although":[0],"Python":[1],"is":[2,14,47,108],"well-known":[3],"for":[4,17,34,71,112],"its":[5],"ease":[6],"of":[7,100],"use,":[8],"it":[9],"lacks":[10],"the":[11,55,61,90],"performance":[12,84],"that":[13,106],"often":[15],"necessary":[16],"numerical":[18],"applications.":[19,115],"As":[20],"a":[21],"result,":[22],"libraries":[23],"like":[24],"NumPy":[25],"and":[26,81,94],"SciPy":[27],"implement":[28],"their":[29],"core":[30],"operations":[31,75,99],"in":[32,42,49],"C":[33],"better":[35],"performance.":[36],"CorePy":[37,66],"represents":[38],"an":[39,44,69,109],"alternative":[40],"approach":[41],"which":[43,64],"assembly":[45],"language":[46],"embedded":[48],"Python,":[50],"allowing":[51],"direct":[52],"access":[53],"to":[54,67,79],"low-level":[56],"processor":[57],"architecture.":[58],"We":[59],"present":[60],"CoreFunc":[62,107],"framework,":[63,91],"utilizes":[65],"provide":[68],"environment":[70],"applying":[72],"element-wise":[73],"arithmetic":[74],"(such":[76],"as":[77],"addition)":[78],"arrays":[80],"achieving":[82],"high":[83],"while":[85],"doing":[86],"so.":[87],"To":[88],"evaluate":[89],"we":[92],"develop":[93],"experiment":[95],"with":[96],"several":[97],"ufunc":[98],"varying":[101],"complexity.":[102],"Our":[103],"results":[104],"show":[105],"excellent":[110],"tool":[111],"accelerating":[113],"NumPy-based":[114]},"counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2024-08-29T00:00:00"}
