ISMM 2025
Tue 17 Jun 2025 Seoul, South Korea
co-located with PLDI 2025
Tue 17 Jun 2025 11:20 - 11:40 at Lilac - Session 2: 1040-1200 [Workloads] Chair(s): Erez Petrank

The effectiveness of generational garbage collection is usually explained through the generational hypothesis, that “most objects die young”.

Despite its simplicity, the generational hypothesis leaves some things to be desired: it is not obvious how it can be measured as a property of a program (independent of a particular GC strategy), it is not composable (in that it does not follow from a larger program by being true of its parts), and even its connection to the effectiveness of generational GC is murkier than it may first appear.

We propose instead lifetime dispersion as a measure of how generational a program’s objects are, and explain how it can be quantified by the Gini coefficient. We show that this measure is both composable, and directly connected to effectiveness of generational collection.

Tue 17 Jun

Displayed time zone: Seoul change

10:40 - 12:00
Session 2: 1040-1200 [Workloads]ISMM 2025 at Lilac
Chair(s): Erez Petrank Technion
10:40
20m
Talk
Reconsidering Garbage Collection in Julia: A Practitioner Report
ISMM 2025
Luis Eduardo de Souza Amorim Australian National University, Yi Lin Australian National University, Stephen M. Blackburn Google; Australian National University, Diogo Netto RelationalAI, Gabriel Baraldi JuliaHub, Nathan Daly RelationalAI, Tony Hosking Australian National University, Kiran Pamnany RelationalAI, Oscar Smith JuliaHub
DOI
11:00
20m
Talk
Reworking Memory Management in CRuby: A Practitioner Report
ISMM 2025
Kunshan Wang Australian National University, Stephen M. Blackburn Google; Australian National University, Peter Zhu Shopify, Matthew Valentine-House Shopify
DOI
11:20
20m
Talk
Lifetime Dispersion and Generational GC: An Intellectual AbstractRemote
ISMM 2025
Stephen Dolan Jane Street
DOI
11:40
20m
Talk
SecureMind: A Framework for Benchmarking Large Language Models in Memory Bug Detection and Repair
ISMM 2025
Huanting Wang University of Leeds, Dejice Jacob University of Glasgow, David Kelly University of Glasgow, Yehia Elkhatib University of Glasgow, Jeremy Singer University of Glasgow, Zheng Wang University of Leeds
DOI Pre-print