Software Open Access
Type Stability in Julia: Avoiding Performance Pathologies in JIT Compilation (Artifact)
Pelenitsyn, Artem;
Belyakova, Julia;
Chung, Benjamin;
Tate, Ross;
Vitek, Jan
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.
Files
(104.2 MB)
| Name | Size | |
|---|---|---|
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julia-type-stability.zip
md5:6449dd3de6885deab2a86a3f5c707df8 |
104.2 MB | Download |
232
13
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 232 | 232 |
| Downloads | 13 | 13 |
| Data volume | 1.4 GB | 1.4 GB |
| Unique views | 186 | 186 |
| Unique downloads | 13 | 13 |
Indexed in
- Publication date:
- September 10, 2021
- DOI:
-
- Keyword(s):
- dynamic languages method dispatch type inference compilation
- Related identifiers:
- Derived from
- Supplement to
- 10.1145/3485527 (Journal article)
- arXiv:2109.01950 (Report)
- License (for files):
- Creative Commons Attribution 4.0 International