ICFP 2024
Mon 2 - Sat 7 September 2024 Milan, Italy

This program is tentative and subject to change.

Programmers can often improve the performance of their programs by reducing heap allocations: either by allocating on the stack or reusing existing memory in-place. However, without safety guarantees, these optimizations can easily lead to use-after-free errors and even type unsoundness. In this paper, we present a design based on modes which allows programmers to safely reduce allocations by using stack allocation and in-place updates of immutable structures. We focus on three mode axes: affinity, uniqueness and locality. Modes are fully backwards compatible with existing OCaml code and can be completely inferred. Our work makes manual memory management in OCaml safe and convenient and charts a path towards bringing the benefits of Rust to OCaml.

This program is tentative and subject to change.

Thu 5 Sep

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

13:30 - 15:00
Memory Models / Memory Management / Low-Level LanguagesICFP Papers and Events
13:30
18m
Talk
Oxidizing OCaml with Modal Memory Management
ICFP Papers and Events
Anton Lorenzen University of Edinburgh, Leo White Jane Street, Stephen Dolan Jane Street, Richard A. Eisenberg Jane Street, Sam Lindley University of Edinburgh
DOI Pre-print
13:48
18m
Talk
A Two-Phase Infinite/Finite Low-Level Memory Model
ICFP Papers and Events
Calvin Beck University of Pennsylvania, Steve Zdancewic University of Pennsylvania, Irene Yoon INRIA Paris, Hanxi Chen University of Pennsylvania, Yannick Zakowski Inria
14:06
18m
Talk
Double-Ended Bit-Stealing for Algebraic Data Types
ICFP Papers and Events
Martin Elsman University of Copenhagen, Denmark
Link to publication DOI
14:24
18m
Talk
Beyond Trees: Calculating Graph-Based Compilers
ICFP Papers and Events
Patrick Bahr IT University of Copenhagen, Graham Hutton University of Nottingham, UK
Pre-print
14:42
18m
Talk
Sound Borrow-Checking for Rust via Symbolic Semantics
ICFP Papers and Events
Son Ho INRIA, Aymeric Fromherz Inria, Jonathan Protzenko Microsoft Research, Redmond