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These code and data (artifact) support the claims of the OOPSLA '21 paper: Type Stability in Julia: Avoiding Performance Pathologies in JIT Compilation ACM DL: DOI: 10.1145/385527 Extended version: arXiv:2109.01950 The way to approach the artifact is described in the Overview.pdf document inside the archive. Any feedback can be posted as issues at the corresponding GitHub repository.
type inference, dynamic languages, method dispatch, compilation
type inference, dynamic languages, method dispatch, compilation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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