{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/150154"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/150154","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Assessing and Improving Garbage Collection Performance in the Julia Programming Language","abstract":"With the increasing popularity of the Julia programming language for memory-intensive applications, garbage collection (GC) is becoming a performance bottleneck, with reports of poor GC performance ranging from differential equation solvers to large database benchmarks. There have been several GC optimizations (such as the implementation of a generational collector) targeting the Julia GC over the last decade, but none of them was in the direction of a multithreaded GC. This thesis assesses GC performance in the Julia programming language and implements optimizations focusing on parallelizing automatic memory management routines.","abstract_html":"With the increasing popularity of the Julia programming language for memory-intensive applications, garbage collection (GC) is becoming a performance bottleneck, with reports of poor GC performance ranging from differential equation solvers to large database benchmarks. There have been several GC optimizations (such as the implementation of a generational collector) targeting the Julia GC over the last decade, but none of them was in the direction of a multithreaded GC. This thesis assesses GC performance in the Julia programming language and implements optimizations focusing on parallelizing automatic memory management routines.","abstract_has_math":false,"creators":["Netto, Diogo Correia"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Edelman, Alan"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-02","date_published":"2023-02","updated_at":"2026-07-22T22:21:52Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"rights_urls":["http://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/150154","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Edelman, Alan"]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Netto, Diogo Correia"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-03-31T14:36:11Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-03-31T14:36:11Z"]},{"key":"dc:date.issued","label":"Date","values":["2023-02"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master","Master of Engineering in Electrical Engineering and Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright - Educational Use Permitted","Copyright MIT"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/page/InC-EDU/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/150154"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["With the increasing popularity of the Julia programming language for memory-intensive applications, garbage collection (GC) is becoming a performance bottleneck, with reports of poor GC performance ranging from differential equation solvers to large database benchmarks. There have been several GC optimizations (such as the implementation of a generational collector) targeting the Julia GC over the last decade, but none of them was in the direction of a multithreaded GC. This thesis assesses GC performance in the Julia programming language and implements optimizations focusing on parallelizing automatic memory management routines."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng."]},{"key":"dc:title","label":"Title","values":["Assessing and Improving Garbage Collection Performance in the Julia Programming Language"]}]}],"canonical_facts":{"dc:contributor.advisor":["Edelman, Alan"],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science"],"dc:creator":["Netto, Diogo Correia"],"dc:date.accessioned":["2023-03-31T14:36:11Z"],"dc:date.available":["2023-03-31T14:36:11Z"],"dc:date.issued":["2023-02"],"dc:description.abstract":["With the increasing popularity of the Julia programming language for memory-intensive applications, garbage collection (GC) is becoming a performance bottleneck, with reports of poor GC performance ranging from differential equation solvers to large database benchmarks. There have been several GC optimizations (such as the implementation of a generational collector) targeting the Julia GC over the last decade, but none of them was in the direction of a multithreaded GC. This thesis assesses GC performance in the Julia programming language and implements optimizations focusing on parallelizing automatic memory management routines."],"dc:description.degree":["M.Eng."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/150154"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"dc:rights.uri":["http://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["Assessing and Improving Garbage Collection Performance in the Julia Programming Language"],"dc:type":["Thesis"],"thesis:degree_name":["Master","Master of Engineering in Electrical Engineering and Computer Science"]},"updated_at":"2026-07-22T22:21:52Z"}