会议信息

ISPDC 2027: International Symposium on Parallel and Distributed Computing

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截稿日期:
2027-02-26 还有 133 天
通知日期:
2027-04-19
会议日期:
2027-07-07
会议地点:
Limassol, Cyprus
届数:
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ICORE: C   QUALIS: B2   浏览: 33989   关注: 14   参加: 2
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ISPDC
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会伴指数 (CP-I)

68.2 / 100
全站第 366 名 / 共 5,696 个会议 · 前 7%

系统与体系结构 第 66 / 340

学术认可 (35%)
68
投稿选择性 (20%)
50
会议传承 (20%)
89
社区关注 (10%)
40
资料公开度 (15%)
85

用到的输入: 收录等级：ICORE C, QUALIS B2 · 录用率：53.6%（有记录的 1 届的均值） · 有据可查的届次：26 · 在会伴关注它的研究者：14 人 · 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 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 1.2 · 算于 2026-10-15

征稿

ISPDC 2027 (International Symposium on Parallel and Distributed Computing) is a ICORE C / QUALIS B2 conference held in Limassol, Cyprus on 2027-07-07. The paper submission deadline is 2027-02-26. Acceptance notifications are sent on 2027-04-19.

Distributed systems have seen an increasing convergence between traditional workflows (such as HPC simulations) and agentic AI workflows. Simulation remains the workhorse of high-performance computing, but supercomputers are increasingly asked to host a second class of workload alongside it. Agentic AI systems (e.g., foundation models acting autonomously through iterative loops of reasoning and tool use) now issue tool calls that are themselves HPC tasks: simulations, solvers, and data-analysis pipelines. Serving them adds interactive, asynchronous and bursty demands to machines designed for bulk-synchronous batch jobs. The question this raises for our community is not one of replacement but of extension: how schedulers, runtimes, communication layers, I/O stacks and memory hierarchies should be extended so that agentic and other AI workloads can coexist with, and feed back into, traditional large-scale computation. ISPDC welcomes work on these new capabilities as much as continued advances in the classical foundations of parallel and distributed computing. We invite original research contributions to ISPDC 2027 in the following categories: full papers, short papers, posters, and talks. Topics of Interest Contributions are welcome in, but not limited to, the following areas: Algorithms and models for parallel and distributed computing Parallel and distributed workflows for large-scale applications, including AI-driven and agentic orchestration Applications of parallel and distributed systems (HPC, Big Data, AI, Quantum Computing) Performance modeling, analysis, and evaluation Parallel and distributed I/O, storage and data management Architectures and environments for parallel and distributed computing Resource management and scheduling, including co-scheduling of interactive AI services with batch workloads Reproducibility and explainability in parallel and distributed computing Cloud computing, edge computing, federated learning Machine learning in the context of parallel and distributed systems Distributed training and inference at scale: parallel strategies, memory offloading, checkpointing, model serving Extending HPC systems for agentic AI: tool calls into simulations, agent memory and context data management
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录用率

平均录用率: 53.6% 1 年间 (2006–2006).

年份提交数录用数录用率(%)
2006844553.6%

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