[hpc-announce] ISMM'23 CFP: ACM SIGPLAN International Symposium on Memory Management

[Chen Ding]

Call for Papers: ISMM 2023

ACM SIGPLAN International Symposium on Memory Management 2023

Submissions Due: Friday, March 3rd 2023
https://conf.researchr.org/home/ismm-2023#Call-for-Papers


The 2023 ACM SIGPLAN International Symposium on Memory Management (ISMM 2023) is soliciting full-length submissions covering new work on all memory management related topics, as well as papers presenting confirmations or refutations of important prior results. In additional 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.

Please indicate whether the paper is a regular paper, a survey, a practitioner report, or an intellectual abstract, by using a subtitle. For example, for a regular paper, include on of the following on the line below the title line:  ubtitle{This submission is a regular paper},  ubtitle{This submission is a survey},  ubtitle{This submission is a practitioner report}, or  ubtitle{This submission is an intellectual abstract}.

ISMM 2023 will be colocated with PLDI 2023 at FCRC’23.

Areas of interest include but are not limited to:

    Garbage collection algorithms and implementations
    Memory allocation and de-allocation
    Memory system design and analysis
    Hardware support for memory management
    Memory management for large-scale data-intensive systems
    Novel memory architectures
    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 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

The symposium welcomes industry practitioners presenting their recent practice and findings in memory management related to real-world deployments.

**Organizers:**

* General Chair: Steve Blackburn (Google and Australian National University)
* Program Chair: Erez Petrank (Technion)