{"id":"https://openalex.org/W4405294098","doi":"https://doi.org/10.36871/ek.up.p.r.2024.11.09.007","title":"OPTIMIZATION OF COMPUTATIONAL TASKS USING MULTITHREADING IN PYTHON","display_name":"OPTIMIZATION OF COMPUTATIONAL TASKS USING MULTITHREADING IN PYTHON","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405294098","doi":"https://doi.org/10.36871/ek.up.p.r.2024.11.09.007"},"language":"en","primary_location":{"id":"doi:10.36871/ek.up.p.r.2024.11.09.007","doi":"https://doi.org/10.36871/ek.up.p.r.2024.11.09.007","is_oa":false,"landing_page_url":"https://doi.org/10.36871/ek.up.p.r.2024.11.09.007","pdf_url":null,"source":{"id":"https://openalex.org/S4210197898","display_name":"EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA","issn_l":"2227-3891","issn":["2227-3891","2308-927X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4366370212","host_organization_name":"Publishing House Scientific Library","host_organization_lineage":["https://openalex.org/P4366370212"],"host_organization_lineage_names":["Publishing House Scientific Library"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5107820150","display_name":"Niyaz R. Galimullin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niyaz R. Galimullin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078856870","display_name":"Elina Ruslanovna Guzueva","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elina R. Guzueva","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11/9","issue":"152","first_page":"47","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9800000190734863,"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":0.9800000190734863,"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":0.010200000368058681,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.004600000102072954,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multithreading","display_name":"multithreading","score":0.9980000257492065},{"id":"https://openalex.org/keywords/multiprocessing","display_name":"multiprocessing","score":0.996999979019165},{"id":"https://openalex.org/keywords/global-interpreter-lock","display_name":"Global Interpreter Lock","score":0.8769999742507935},{"id":"https://openalex.org/keywords/python","display_name":"Python","score":0.722000002861023},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"parallel computing","score":0.7860000133514404},{"id":"https://openalex.org/keywords/performance-optimization","display_name":"performance optimization","score":0.6470000147819519}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8788198232650757},{"id":"https://openalex.org/C201410400","wikidata":"https://www.wikidata.org/wiki/Q1064412","display_name":"Multithreading","level":3,"score":0.8105063438415527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294369339942932},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.46009865403175354},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3963547348976135},{"id":"https://openalex.org/C138101251","wikidata":"https://www.wikidata.org/wiki/Q213092","display_name":"Thread (computing)","level":2,"score":0.17816638946533203}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.36871/ek.up.p.r.2024.11.09.007","doi":"https://doi.org/10.36871/ek.up.p.r.2024.11.09.007","is_oa":false,"landing_page_url":"https://doi.org/10.36871/ek.up.p.r.2024.11.09.007","pdf_url":null,"source":{"id":"https://openalex.org/S4210197898","display_name":"EKONOMIKA I UPRAVLENIE PROBLEMY RESHENIYA","issn_l":"2227-3891","issn":["2227-3891","2308-927X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4366370212","host_organization_name":"Publishing House Scientific Library","host_organization_lineage":["https://openalex.org/P4366370212"],"host_organization_lineage_names":["Publishing House Scientific Library"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4415659700","https://openalex.org/W4386770789","https://openalex.org/W4411272062","https://openalex.org/W7220153263","https://openalex.org/W2513141270","https://openalex.org/W2886084574","https://openalex.org/W4210282147","https://openalex.org/W4403342348","https://openalex.org/W7131128174","https://openalex.org/W3187355740"],"abstract_inverted_index":{"The":[0,26,42],"article":[1],"explores":[2],"the":[3,18,21,45],"use":[4],"of":[5,20,28,44,62],"multithreading":[6],"and":[7,35,48,64],"multiprocessing":[8],"to":[9,69],"optimize":[10],"computational":[11],"tasks":[12,57],"in":[13,51],"Python,":[14],"taking":[15],"into":[16],"account":[17],"features":[19],"global":[22],"interpreter":[23],"lock":[24],"(GIL).":[25],"principles":[27],"multithreading,":[29],"its":[30,49],"advantages":[31],"for":[32,37,54,76],"I/O":[33],"tasks,":[34],"limitations":[36],"CPU-intensive":[38],"computing":[39,56],"are":[40,58,67],"considered.":[41],"possibilities":[43],"multiprocessor":[46],"approach":[47,72],"effectiveness":[50],"bypassing":[52],"GIL":[53],"high-load":[55],"also":[59],"analyzed.":[60],"Examples":[61],"implementation":[63],"comparative":[65],"results":[66],"provided":[68],"assess":[70],"which":[71],"is":[73],"most":[74],"effective":[75],"specific":[77],"tasks.":[78]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2024-12-12T00:00:00"}