会议信息

PDP 2027: International Conference on Parallel, Distributed and Network-Based Processing

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截稿日期:
2026-10-19 已截稿
通知日期:
2026-12-07
会议日期:
2027-03-17
会议地点:
Barcelona, Spain
届数:
ICORE: C   QUALIS: B1   浏览: 41673   关注: 23   参加: 2
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会伴指数 (CP-I)

69.4 / 100
全站第 355 名 / 共 5,768 个会议 · 前 7%
学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
96
社区关注 (10%)
45
资料公开度 (15%)
55

用到的输入: 收录等级：ICORE C, QUALIS B1 · 有据可查的届次：35 · 在会伴关注它的研究者：23 人 · 过去 24 个月打开过本页的研究者：6 人

公开资料里还缺: 历年录用率 (+4.5) · 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 80% —— 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 2026-11-04

征稿

PDP 2027 (International Conference on Parallel, Distributed and Network-Based Processing) is a ICORE C / QUALIS B1 conference held in Barcelona, Spain on 2027-03-17. The paper submission deadline is 2026-10-19. Acceptance notifications are sent on 2026-12-07.

Topics of interest PDP welcomes original, unpublished work across (but not limited to) the following areas. 01 Algorithms Resource-aware & power-efficient algorithms; real-time and fault-tolerant distributed/parallel algorithms; graph and network algorithms. 02 Applications Numerical and scientific applications with multi-level parallelism; computations over irregular domains. 03 Data-centric processing Scientific workflows; large-scale data processing & management; next-generation storage; FAIR/open data systems. 04 Distributed AI Federated and distributed learning; AI at scale; training of LLMs; benchmarking for AI workloads. 05 Distributed computing Cluster, grid, fog/edge, mobile and cloud systems; service-oriented processing; cost, security & energy models. 06 Parallel computing Accelerator-based systems (GPU, FPGA, neuromorphic, post-CMOS); embedded parallel systems; fault tolerance. 07 Programming models & tools Languages, compilers, middleware and OS; libraries, runtime and systems software; performance prediction. 08 HPC state of practice Managing systems, storage & facilities; HPC in the cloud; networking and cybersecurity; training strategies. 09 Systems & architectures High-throughput & streaming architectures; heterogeneous and hybrid systems; post-CMOS architectures.
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