{"id":"https://openalex.org/W4200552233","doi":"https://doi.org/10.1109/protools54808.2021.00008","title":"Controlling the Runtime Overhead of Python Monitoring with Selective Instrumentation","display_name":"Controlling the Runtime Overhead of Python Monitoring with Selective Instrumentation","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200552233","doi":"https://doi.org/10.1109/protools54808.2021.00008"},"language":"en","primary_location":{"id":"doi:10.1109/protools54808.2021.00008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/protools54808.2021.00008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088592453","display_name":"Andreas Gocht","orcid":"https://orcid.org/0000-0003-2760-3672"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Gocht-Zech","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031367186","display_name":"Alexander Grund","orcid":"https://orcid.org/0000-0002-7196-8452"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Grund","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050736312","display_name":"Robert Sch\u00f6ne","orcid":"https://orcid.org/0009-0003-0666-4166"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Schone","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9937999844551086,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9824000000953674,"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/python","display_name":"Python (programming language)","score":0.878341794013977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8402420282363892},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.7038469314575195},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5060986876487732},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4379594326019287},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4288049042224884},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3689839541912079},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3689690828323364},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3605338931083679}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.878341794013977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8402420282363892},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.7038469314575195},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5060986876487732},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4379594326019287},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4288049042224884},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3689839541912079},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3689690828323364},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3605338931083679}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/protools54808.2021.00008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/protools54808.2021.00008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W37867413","https://openalex.org/W1063233339","https://openalex.org/W1545880915","https://openalex.org/W2064452120","https://openalex.org/W2136434791","https://openalex.org/W2466114212","https://openalex.org/W2623240261","https://openalex.org/W2761020686","https://openalex.org/W3095177235"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W1699080303","https://openalex.org/W4297799326","https://openalex.org/W3116064965","https://openalex.org/W4287027380","https://openalex.org/W3193760048","https://openalex.org/W4285822516","https://openalex.org/W2505261959"],"abstract_inverted_index":{"Within":[0],"the":[1,9,32,48,84,90,101],"last":[2],"years,":[3],"Python":[4,98],"became":[5],"more":[6],"prominent":[7],"in":[8,108],"scientific":[10],"community":[11,71],"and":[12,20,29,64,82,100,128],"is":[13,93,105],"now":[14],"used":[15],"for":[16,67,96,134],"simulations,":[17],"machine":[18,146],"learning,":[19],"data":[21],"analysis.":[22],"All":[23],"these":[24,86],"tasks":[25],"profit":[26],"from":[27,143],"parallelism":[28,66],"offloading.":[30],"In":[31],"domain":[33],"of":[34,45,51,121],"High":[35],"Performance":[36],"Computing":[37],"(HPC),":[38],"we":[39,60,111,124],"can":[40],"look":[41],"back":[42],"to":[43,74,131],"decades":[44],"experience":[46],"exploiting":[47],"different":[49],"levels":[50],"parallelism.":[52],"By":[53],"using":[54],"performance":[55],"analysis":[56,77],"tools":[57,87],"like":[58],"Score-P,":[59],"support":[61],"tuning":[62],"applications":[63],"their":[65],"performance.":[68],"The":[69],"HPC":[70],"developed":[72],"approaches":[73],"make":[75],"this":[76],"as":[78,80],"efficient":[79],"possible":[81],"reduce":[83],"overhead":[85,91],"introduced.":[88],"However,":[89],"introduced":[92],"still":[94],"significant":[95],"complex":[97],"applications,":[99],"traditional":[102],"compile-time":[103,132],"filtering":[104,133],"not":[106],"available":[107],"Python.":[109,135],"Therefore,":[110],"come":[112],"up":[113],"with":[114,138],"a":[115,126,139,144],"selective":[116],"instrumentation":[117],"approach.":[118],"Using":[119],"some":[120],"Pythons":[122],"concepts,":[123],"designed":[125],"powerful":[127],"intuitive":[129],"alternative":[130],"We":[136],"finish":[137],"small":[140],"use":[141],"case":[142],"real-world":[145],"learning":[147],"application.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}