会议信息

ISMM 2026: International Symposium on Memory Management

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ISMM
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截稿日期:
2026-03-27
通知日期:
2026-05-04
会议日期:
2026-06-15
会议地点:
Boulder, Colorado, USA
届数:
12
ICORE: C   QUALIS: B1   浏览: 24344   关注: 1   参加: 0

会伴指数 (CP-I)

64.9 / 100
全站第 423 名 / 共 5,650 个会议 · 前 8%
学术认可 (35%)
78
投稿选择性 (20%)
62
会议传承 (20%)
69
社区关注 (10%)
17
资料公开度 (15%)
65

用到的输入: 收录等级：ICORE C, QUALIS B1 · 录用率：43.8%（有记录的 2 届的均值） · 有据可查的届次：12 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-04

征稿

ISMM 2026 (International Symposium on Memory Management) is a ICORE C / QUALIS B1 conference held in Boulder, Colorado, USA on 2026-06-15. The paper submission deadline is 2026-03-27. Acceptance notifications are sent on 2026-05-04.

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! 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. ISMM 2026 will be colocated with PLDI 2026. 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.
由 Dou Sun 最后更新于

录用率

平均录用率: 43.8% 2 年间 (2002–2004).

年份提交数录用数录用率(%)
2004411741.5%
2002391846.2%

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