会议信息

PPoPP 2027: ACM SIGPLAN Annual Symposium Principles and Practice of Parallel Programming

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截稿日期:
2026-08-03
通知日期:
2026-10-26
会议日期:
2027-03-20
会议地点:
Salt Lake City, Utah, USA
届数:
CCF: A   ICORE: B   QUALIS: A2   浏览: 86411   关注: 101   参加: 10

会伴指数 (CP-I)

93.5 / 100
全站第 24 名 / 共 5,693 个会议 · 前 1%

系统与体系结构 第 4 / 341

学术认可 (35%)
100
投稿选择性 (20%)
88
会议传承 (20%)
93
社区关注 (10%)
72
资料公开度 (15%)
100

用到的输入: 收录等级：CCF A, ICORE B, QUALIS A2 · 录用率：21.9%（有记录的 5 届的均值） · 有据可查的届次：31 · 在会伴关注它的研究者：101 人 · 过去 24 个月打开过本页的研究者：38 人

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 2026-10-05

征稿

PPoPP 2027 (ACM SIGPLAN Annual Symposium Principles and Practice of Parallel Programming) is a CCF A / ICORE B / QUALIS A2 conference held in Salt Lake City, Utah, USA on 2027-03-20. The paper submission deadline is 2026-08-03. Acceptance notifications are sent on 2026-10-26.

Scope PPoPP is the premier forum for leading work on all aspects of parallel and performance programming, including theoretical foundations, techniques, languages, compilers, runtime systems, tools, applications, and practical experience. This symposium focuses on improving the programming productivity and performance engineering of all concurrent and parallel systems—multicore, multi-threaded, heterogeneous, clustered, and distributed systems, grids, accelerators such as ASICs, GPUs, FPGAs, data centers, clouds, large scale machines, and quantum computers. PPoPP is also interested in new and emerging parallel workloads and applications, such as artificial intelligence and large-scale scientific/enterprise workloads. Specific topics of interest include (but are not limited to): Languages, compilers, and runtime systems for parallel programs Parallel programming frameworks and domain-specific languages Parallel programming for emerging hardware, including AI accelerators, processor-in-memory, programmable logic, non-volatile memory technologies, and quantum computers High-performance libraries Parallel programming for deep memory hierarchies including nonvolatile memory Parallel algorithms Parallel applications including scientific computing and enterprise workloads Artificial intelligence and machine learning for parallel systems, including their use in system design, optimization, and runtime decisions Development, analysis, or management tools Performance analysis, debugging and optimization Productivity tools for parallel systems Software engineering for parallel programs Parallel programming theory and models Formal analysis and verification Concurrent data structures Synchronization and concurrency control Fault tolerance for parallel systems Middleware for parallel systems Papers should report on original research relevant to parallel programming and should contain enough background materials to make them accessible to the entire parallel programming research community. Papers describing experience should indicate how they illustrate general principles or lead to new insights; papers about parallel programming foundations should indicate how they relate to practice. PPoPP submissions will be evaluated based on their technical merit and accessibility. Submissions should clearly motivate the importance of the problem being addressed, compare to the existing body of work on the topic, and explicitly and precisely state the paper’s key contributions and results towards addressing the problem. Submissions should strive to be accessible both to a broad audience and to experts in the area.
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录用率

平均录用率: 26.3% 9 年间 (1999–2014).

年份提交数录用数录用率(%)
20141842815.2%
20131462617.8%
20121732615%
2007652233.8%
2006912527.5%
2005872731%
2003452044.4%
2001791721.5%
1999862630.2%

最佳论文

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BA86.3CGOInternational Symposium on Code Generation and Optimization2026-09-102027-01-31

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