ISMM 2024
Tue 25 Jun 2024 Copenhagen, Denmark
co-located with PLDI 2024
Tue 25 Jun 2024 11:20 - 11:40 at Iceland - ISMM: Session 1 - Garbage Collection Chair(s): Steve Blackburn

Using object lifetime information enables performance improvement through memory optimizations such as pretenuring and tuning garbage collector parameters. However, profiling object lifetimes is nontrivial and often requires a specialized virtual machine to instrument object allocations and dereferences. Alternative lifetime profiling could be done with less implementation effort using available finalization mechanisms such as weak references.

In this paper, we study the impact of finalization on object lifetime profiling. We built an actionable lifetime profiler using the ephemeron finalization mechanism named FiLiP. FiLiP instruments object allocations to exactly record an object’s allocation time and it attaches an ephemeron to each allocated object to capture its finalization time. We show that FiLiP can be used in practice and achieves a significant overhead reduction by pretenuring the ephemeron objects. We further experiment with the impact of sampling object allocations, showing that sampling further reduces profiling overhead while still maintaining actionable lifetime measurements.

Tue 25 Jun

Displayed time zone: Windhoek change

10:40 - 11:40
ISMM: Session 1 - Garbage CollectionISMM 2024 at Iceland
Chair(s): Steve Blackburn Google and Australian National University
10:40
20m
Talk
Memory Management on Mobile Devices
ISMM 2024
Kunal Sareen Australian National University, Steve Blackburn Google and Australian National University, Sara S. Hamouda Google, Lokesh Gidra Google
DOI Pre-print
11:00
20m
Talk
Garbage Collection for Mostly Serialized Heaps
ISMM 2024
Chaitanya S. Koparkar Indiana University, Vidush Singhal Purdue University, Aditya Gupta Purdue University, Mike Rainey Carnegie Mellon University, Michael Vollmer University of Kent, Artem Pelenitsyn Purdue University, Sam Tobin-Hochstadt Indiana University, Milind Kulkarni Purdue University, Ryan R. Newton Purdue University
DOI Pre-print
11:20
20m
Talk
Evaluating Finalization-Based Object Lifetime ProfilingRemote
ISMM 2024
Sebastian Jordan Montaño Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL F-59000 Lille, France, Guillermo Polito Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Stéphane Ducasse Inria; University of Lille; CNRS; Centrale Lille; CRIStAL, Pablo Tesone Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Pharo Consortium
DOI