会议信息

HPDC 2026: International ACM Symposium on High-Performance Parallel and Distributed Computing

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HPDC
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截稿日期:
2026-01-29
通知日期:
2026-03-31
会议日期:
2026-07-13
会议地点:
Cleveland, Ohio, USA
届数:
35
CCF: A   ICORE: A   QUALIS: A1   浏览: 123712   关注: 175   参加: 20

会伴指数 (CP-I)

92.5 / 100
全站第 43 名 / 共 5,693 个会议 · 前 1%

系统与体系结构 第 11 / 341

学术认可 (35%)
100
投稿选择性 (20%)
96
会议传承 (20%)
96
社区关注 (10%)
70
资料公开度 (15%)
80

用到的输入: 收录等级：CCF A, ICORE A, QUALIS A1 · 录用率：15.4%（有记录的 5 届的均值） · 有据可查的届次：35 · 在会伴关注它的研究者：175 人 · 过去 24 个月打开过本页的研究者：14 人

公开资料里还缺: 历届信息 (+3.0)
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 2026-10-05

征稿

HPDC 2026 (International ACM Symposium on High-Performance Parallel and Distributed Computing) is a CCF A / ICORE A / QUALIS A1 conference held in Cleveland, Ohio, USA on 2026-07-13. The paper submission deadline is 2026-01-29. Acceptance notifications are sent on 2026-03-31.

Overview The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) is the premier annual conference for presenting the latest research on the design, implementation, evaluation, and use of parallel and distributed systems for high-end computing. The 35th HPDC will take place in Cleveland, Ohio, United States, from July 13 to 16, 2026. Scope and Topics We welcome submissions on high-performance parallel and distributed computing (HPDC) topics, including but not limited to: clouds, clusters, grids, big data, massively multicore, and extreme-scale computing systems. Experience reports of operational deployments that provide significantly novel insights for future research on HPDC applications and systems are also welcome. In the context of high-performance parallel and distributed computing, the topics of interest include, but are not limited to: Infrastructure, including datacenter, HPC, cloud, serverless, and edge/IoT computing platforms Accelerators and heterogeneous computing Memory systems File and storage systems, I/O, and data management Operating systems and networks System software and middleware for parallel and distributed systems Programming languages and runtime systems Big data stacks and significant data ecosystems Parallel and distributed computing systems and software for AI Scientific applications, algorithms, and workflows Resource management and scheduling Performance modeling and benchmarking Fault tolerance, reliability, and availability Deployment topics, including operational guarantees, risk assessment, and management Energy efficiency and sustainability Software engineering for parallel and distributed systems Novel post-Moore computing technologies, including but not limited to neuromorphic, brain-inspired computing, and quantum computing HPDC welcomes submissions that utilize Artificial Intelligence to enhance the topics of interest mentioned above or that employ parallel and distributed systems to improve AI workloads. However, we emphasize that an HPDC submission must clearly address and explain its connection to research in parallel and distributed computing.
由 Dou Sun 最后更新于

录用率

平均录用率: 18.4% 13 年间 (2003–2015).

年份提交数录用数录用率(%)
20151161916.4%
20141302116.2%
20131312015.3%
20121412316.3%
20111702212.9%
2010912325.3%
2009682029.4%
20081031817.5%
20071002020%
20061572415.3%
20051332418%
20041492416.1%
20031252520%

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