CFP: International Symposium on Memory Management (ISMM2026)
穐山 空道(s-akym)
立命館大学の穐山です。
PLDI 併設の International Symposium on Memory Management (ISMM) の
CFP をお送りします。締め切りは 4/3（金）です。
GC 等の伝統的なメモリマネジメント分野に加え、
アーキテクチャやシステムの研究も範囲に入っております。
どうぞよろしくお願い致します。
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ACM SIGPLAN International Symposium on Memory Management (ISMM2026)
https://conf.researchr.org/home/ismm-2026
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
Extended Submission Deadline: April 3, 2026 (no further extension)
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.
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Soramichi Akiyama <s-a...@fc.ritsumei.ac.jp>
Associate Professor,
College of Information Science and Engineering,
Ritsumeikan University, Japan