Assessing and Improving Garbage Collection Performance in the Julia Programming Language
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...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/150154 |
| Summary: | 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. |
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