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Computer Science > Programming Languages

arXiv:2109.01950 (cs)
[Submitted on 4 Sep 2021 (v1), last revised 17 Nov 2021 (this
version, v2)]

Title:Type Stability in Julia: Avoiding Performance Pathologies in
JIT Compilation (Extended Version)

Authors:Artem Pelenitsyn, Julia Belyakova, Benjamin Chung, Ross Tate,
Jan Vitek
Download PDF

    Abstract: As a scientific programming language, Julia strives for
    performance but also provides high-level productivity features.
    To avoid performance pathologies, Julia users are expected to
    adhere to a coding discipline that enables so-called type
    stability. Informally, a function is type stable if the type of
    the output depends only on the types of the inputs, not their
    values. This paper provides a formal definition of type stability
    as well as a stronger property of type groundedness, shows that
    groundedness enables compiler optimizations, and proves the
    compiler correct. We also perform a corpus analysis to uncover
    how these type-related properties manifest in practice.

Comments: OOPSLA '21, extended version
Subjects: Programming Languages (cs.PL)
DOI:      10.1145/3485527
Cite as:  arXiv:2109.01950 [cs.PL]
          (or arXiv:2109.01950v2 [cs.PL] for this version)

Submission history

From: Artem Pelenitsyn [view email]
[v1] Sat, 4 Sep 2021 23:08:36 UTC (1,015 KB)
[v2] Wed, 17 Nov 2021 18:00:56 UTC (1,895 KB)
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