会议信息

PAAP 2022: International Symposium on Parallel Architectures, Algorithms and Programming

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截稿日期:
2022-07-30
通知日期:
2022-09-30
会议日期:
2022-11-04
会议地点:
Beijing, China
届数:
13
QUALIS: B5   浏览: 43798   关注: 12   参加: 10

会伴指数 (CP-I)

48.4 / 100
全站第 1,992 名 / 共 5,693 个会议 · 前 35%

理论与算法 第 82 / 142 系统与体系结构 第 182 / 341

学术认可 (35%)
48
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
71
社区关注 (10%)
37
资料公开度 (15%)
25

用到的输入: 收录等级：QUALIS B5 · 有据可查的届次：13 · 在会伴关注它的研究者：12 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 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 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 1.1 · 算于 2026-10-04

征稿

PAAP 2022 (International Symposium on Parallel Architectures, Algorithms and Programming) is a QUALIS B5 conference held in Beijing, China on 2022-11-04. The paper submission deadline is 2022-07-30. Acceptance notifications are sent on 2022-09-30.

We are inviting new and unpublished papers on, but not limited to, the following topics: Architectures: Multi/many-core architectures Interconnection networks Cluster, grid and cloud computing systems Network-on-chip architectures Survivable and safety-critical systems Ubiquitous computing systems Sensor, wireless and RFID systems Reconfigurable architectures Architectural support for programming language or software development Algorithms: Combinatorial and graph algorithms Numeric algorithms Task mapping and job scheduling Parallel/distributed databases and knowledge discovery High-performance scientific computing Resource allocation and management Power-aware Computing Secure distributed computing Network routing and traffic control Parallel Programming: Multi/many-core programming Parallel programming theory and models Formal methods and verification Middleware for parallel systems Parallel programming languages Parallel compilers and runtime systems Performance analysis, debugging and optimization Parallel libraries and application frameworks High Performance Systems: Operating systems for parallel/distributed systems High-performance computer arithmetic Memory hierarchy and caching Performance tuning, optimization and profiling Human-computer interaction in parallel/distributed systems Photonic and quantum computing Media computing in parallel/distributed systems Software engineering for parallel/distributed system Privacy and Security: Cloud security Data privacy protection Cryptography Intrusion detection Copyright protection Access control Data provenance Trusted computing Big Data Processing and Deep Learning: Mass data stream processing in clouds Big data models and computation theory Big data mining and fusion Dimension reduction for large data sets Big data placement, scheduling and optimization Multi-source data processing and integration Deep learning models Deep learning applications Workshop: Topic: Security and privacy of federated learning Requirement: The format of the paper is the same as the main conference, except that its type is selected as "workshop" when submitting.
由 Dou Sun 最后更新于

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