14 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.PL2023
A Type System for Julia
Benjamin Chung
The Julia programming language was designed to fill the needs of scientific computing by combining the benefits of productivity and performance languages. Julia allows users to wri…
cs.PL2021★ 14 cited
Type Stability in Julia: Avoiding Performance Pathologies in JIT Compilation (Extended Version)
Artem Pelenitsyn, Julia Belyakova, Benjamin Chung +2
As a scientific programming language, Julia strives for performance but also provides high-level productivity features. To avoid performance pathologies, Julia users are expected t…
cs.PL2020★ 1 cited
World Age in Julia: Optimizing Method Dispatch in the Presence of Eval (Extended Version)
Julia Belyakova, Benjamin Chung, Jack Gelinas +3
Dynamic programming languages face semantic and performance challenges in the presence of features, such as eval, that can inject new code into a running program. The Julia program…