{"id":"https://openalex.org/W2756129572","doi":"https://doi.org/10.25080/shinma-7f4c6e7-00f","title":"Accelerating Scientific Python with Intel Optimizations","display_name":"Accelerating Scientific Python with Intel Optimizations","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2756129572","doi":"https://doi.org/10.25080/shinma-7f4c6e7-00f","mag":"2756129572"},"language":"en","primary_location":{"id":"doi:10.25080/shinma-7f4c6e7-00f","is_oa":true,"landing_page_url":"https://doi.org/10.25080/shinma-7f4c6e7-00f","pdf_url":"http://conference.scipy.org/proceedings/scipy2017/pdfs/oleksandr_pavlyk.pdf","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 16th Python in Science Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://conference.scipy.org/proceedings/scipy2017/pdfs/oleksandr_pavlyk.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064277370","display_name":"Oleksandr Pavlyk","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Oleksandr Pavlyk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027021547","display_name":"Denis Nagorny","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Denis Nagorny","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062206312","display_name":"Andres Guzman-Ballen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andres Guzman-Ballen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012461519","display_name":"Anton Malakhov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anton Malakhov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368943","display_name":"Hai Liu","orcid":"https://orcid.org/0000-0002-8661-6230"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hai Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007252881","display_name":"Ehsan Totoni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ehsan Totoni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103271482","display_name":"Todd A. Anderson","orcid":"https://orcid.org/0000-0002-5739-6320"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Todd Anderson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5025594118","display_name":"Sergey Maidanov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergey Maidanov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5064277370"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2081,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64837239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9937999844551086,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9937999844551086,"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/python","display_name":"Python (programming language)","score":0.906652569770813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8461607098579407},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6329947710037231},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.5826461911201477},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4815793037414551},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.45767897367477417},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.45729860663414}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.906652569770813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8461607098579407},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6329947710037231},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.5826461911201477},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4815793037414551},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.45767897367477417},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.45729860663414}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.25080/shinma-7f4c6e7-00f","is_oa":true,"landing_page_url":"https://doi.org/10.25080/shinma-7f4c6e7-00f","pdf_url":"http://conference.scipy.org/proceedings/scipy2017/pdfs/oleksandr_pavlyk.pdf","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 16th Python in Science Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.25080/shinma-7f4c6e7-00f","is_oa":true,"landing_page_url":"https://doi.org/10.25080/shinma-7f4c6e7-00f","pdf_url":"http://conference.scipy.org/proceedings/scipy2017/pdfs/oleksandr_pavlyk.pdf","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 16th Python in Science Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2756129572.pdf","grobid_xml":"https://content.openalex.org/works/W2756129572.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2207495067","https://openalex.org/W1906486629","https://openalex.org/W2291920536","https://openalex.org/W2022397046","https://openalex.org/W2162726111","https://openalex.org/W1603583590","https://openalex.org/W338671845","https://openalex.org/W1587248296","https://openalex.org/W2117755361","https://openalex.org/W2286348849"],"abstract_inverted_index":{"It":[0],"is":[1,30,76],"well-known":[2],"that":[3],"the":[4,85],"performance":[5,33,53,69],"difference":[6],"between":[7],"Python":[8,79],"and":[9,51],"basic":[10],"C":[11],"code":[12,21],"can":[13],"be":[14],"up":[15],"200x,":[16],"but":[17,91],"for":[18,63,78],"numerically":[19,71],"intensive":[20,72],"another":[22],"speedup":[23],"factor":[24],"of":[25,41,70,88],"240x":[26],"or":[27,96,108],"even":[28],"greater":[29],"possible.":[31],"The":[32,55],"comes":[34],"from":[35],"software's":[36],"ability":[37],"to":[38,66,83,98],"take":[39],"advantage":[40],"CPU's":[42],"multiple":[43,47],"cores,":[44],"single":[45],"instruction":[46],"data":[48],"(SIMD)":[49],"instructions,":[50],"high":[52],"caches.":[54],"article":[56],"describes":[57],"optimizations,":[58],"included":[59],"in":[60],"Intel":[61],"Distribution":[62],"Python*,":[64],"aimed":[65],"automatically":[67],"boost":[68],"code.":[73],"This":[74],"paper":[75],"intended":[77],"programmers":[80],"who":[81],"want":[82],"get":[84],"most":[86],"out":[87],"their":[89,100],"hardware":[90],"do":[92],"not":[93],"have":[94],"time":[95],"expertise":[97],"re-code":[99],"applications":[101],"using":[102],"techniques":[103],"such":[104],"as":[105],"native":[106],"extensions":[107],"Cython.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
