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2026 ACM SIGPLAN International Symposium on Memory Management (ISMM 2026)
https://urldefense.com/v3/__https://conf.researchr.org/home/ismm-2026__;!!IBzWLUs!Qrw4rIBeVSeJH4hrcYQAt_EKzNJg3zZycrZ7BpTwsAiMjNrmHQTF2ipmbBaqaSTSVkcJIMhk3BBCcHL5Ud0mAScgRsI33C1F$
Continuing from ISMM 2024, we are excited to announce the continued, expanded
scope of ISMM this year to encourage submissions and participation from related
fields such as computer architecture and computer systems in addition to our
core PL community!
ISMM 2026 will be colocated with PLDI 2026.
## Important Dates
Submission Deadline: March 27, 2026
Author Response Period: April 27 - May 1, 2026
Author Notification: May 4, 2026
Symposium: June 15 - June 19, 2026
## Paper Categories
The 2026 ACM SIGPLAN International Symposium on Memory Management (ISMM 2026)
is soliciting full-length submissions covering new work on all memory
management related topics in both software and hardware (and their
cooperation), as well as papers presenting confirmations or refutations of
important prior results. In addition to regular papers, traditionally submitted
to ISMM, we also invite submissions of the following kinds:
* Surveys and comparative analyses that shed new light on previously
published techniques.
* Practitioner reports, describing experience with memory management in
production. Such papers are not expected to provide novel research
contributions, but they should not have been previously published.
* Intellectual abstracts, where researchers share designs, algorithms, or
theory that may be interesting to the memory management community, but not yet
evaluated.
## Area of Interest
Areas of interest include but are not limited to (in no particular order):
* Garbage collection algorithms and implementations
* Memory allocation and de-allocation
* Memory system design and analysis (both software and hardware)
* Hardware support for memory management
* Memory management for large-scale data-intensive systems
* Memory management at datacenter and cloud scales
* Formal analysis and verification of memory management algorithms
* Compiler analyses to aid memory management
* Tools to analyze memory usage and characteristics of programs
* Empirical analysis of memory intensive programs
* Formal analysis and verification of memory intensive programs
* Memory management for machine learning systems
* Programming and management of emerging or persistent memories
* Caches, memory controllers, memory hierarchies (e.g., CXL) and their
management
* Cache coherence and memory consistency
* Processing in memory (including processing near and using memory)
* Memory technology and architecture (SRAM, DRAM, flash, NVM, emerging
technologies)
* Security and privacy of memory systems
* Robustness of memory systems
* Low-latency and low-energy memory systems
The symposium welcomes industry practitioners presenting their recent practice
and findings in memory management related to real-world deployments.
## Submission Link
https://urldefense.com/v3/__https://ismm26.hotcrp.com__;!!IBzWLUs!Qrw4rIBeVSeJH4hrcYQAt_EKzNJg3zZycrZ7BpTwsAiMjNrmHQTF2ipmbBaqaSTSVkcJIMhk3BBCcHL5Ud0mAScgRrmUwy5B$
## Organizers
General Chair: Matthew J. Parkinson (Microsoft Azure Research)
Program Co-chair: Tomoharu Ugawa (University of Tokyo)
Program Co-chair: Jung Ho Ahn (Seoul National University)
## Program Committee
A. Giray Yaglikci (CISPA)
Antony Hosking (ANU)
Babak Falsafi (EPFL)
Boris Grot (University of Edinburgh)
Christoph Kirsch (University of Salzburg, Austria and Czech Technical
University, Prague, Czechia)
Christos Kotselidis (University of Manchester, UK)
Dimi Racordon (HES-SO Valais/Wallis)
Hans-J. Boehm (Google)
Houxiang Ji (SK hynix America)
Jeremy Singer (University of Glasgow)
Jung Ho Ahn (Seoul National University)
Laurence Tratt (King's College London)
Marc Feeley (Université de Montréal)
Maria Carpen-Amarie (Huawei (Zurich))
Mingyu Gao (Tsinghua University)
Richard Jones (University of Kent)
Sara Hamouda (Canva)
Soramichi Akiyama (Ritsumeikan University)
Takahiro Shinagawa (university of Tokyo)
Tetsuro Yamazaki (University of Tokyo)
Tomoharu Ugawa (University of Tokyo)
