This program is tentative and subject to change.

Fri 25 Oct 2024 11:40 - 12:00 at San Gabriel - Memory Management and Analysis 1

Programs written in C/C++ often include inline assembly: a snippet of architecture-specific assembly code used to access low-level functionalities that are impossible or expensive to simulate in the source language. Although inline assembly is widely used, its semantics has not yet been formally studied.

In this paper, we overcome this deficiency by investigating the effect of inline assembly to the consistency semantics of C/C++ programs. We propose the first memory model of the C++ Programming Language with support for inline assembly for Intel’s x86 including non-temporal stores and store fences. We argue that previous provably correct compiler optimizations and correct compiler mappings should remain correct under such an extended model and we prove that this requirement is met by our proposed model.

This program is tentative and subject to change.

Fri 25 Oct

Displayed time zone: Pacific Time (US & Canada) change

11:00 - 12:20
Memory Management and Analysis 1OOPSLA 2024 at San Gabriel
11:00
20m
Talk
A Dependent Nominal Physical Type System for Static Analysis of Memory in Low Level Code
OOPSLA 2024
Julien Simonnet CEA LIST, Matthieu Lemerre Université Paris-Saclay - CEA LIST, Mihaela Sighireanu University Paris-Saclay, ENS Paris-Saclay, CNRS, LMF
11:20
20m
Talk
Modeling Dynamic (De)Allocations of Local Memory for Translation Validation
OOPSLA 2024
Abhishek Rose IIT Delhi, Sorav Bansal IIT Delhi and CompilerAI Labs
11:40
20m
Talk
Extending the C/C++ Memory Model with Inline Assembly
OOPSLA 2024
Paulo Emílio de Vilhena Imperial College London, Ori Lahav Tel Aviv University, Viktor Vafeiadis MPI-SWS, Azalea Raad Imperial College London
12:00
20m
Talk
Iris-MSWasm: elucidating and mechanising the security invariants of Memory-Safe WebAssembly
OOPSLA 2024
Maxime Legoupil Aarhus University, June Rousseau Aarhus University, Aina Linn Georges Max Planck Institute for Software Systems (MPI-SWS), Jean Pichon-Pharabod Aarhus University, Lars Birkedal Aarhus University