会议信息

SPDP 2019: International Symposium on Parallel and Distributed Processing

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截稿日期:
2018-10-30 已截稿
通知日期:
会议日期:
2019-01-03
会议地点:
Sanya, China
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SPDP
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会伴指数 (CP-I)

42.1 / 100
全站第 4,251 名 / 共 5,764 个会议 · 前 74%

系统与体系结构 第 277 / 342

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 过去 24 个月打开过本页的研究者：2 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 25% —— 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 2026-11-02

征稿

SPDP 2019 (International Symposium on Parallel and Distributed Processing) is an academic conference held in Sanya, China on 2019-01-03. The paper submission deadline is 2018-10-30 (extended).

International Symposium on Parallel and Distributed Processing (SPDP 2019) will be held from January 3 to 5, 2019 in Sanya, China. You are invited to submit papers and participate in our academic exchange. Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest: Parallel and Distributed Algorithms Parallel and Distributed Processing Parallel and Distributed software development Parallel and Distributed system architectures Parallel and Distributed Systems Building block processors: FPGA, multicore, GPU, SoC Code generation and optimization Compilers for parallel computers Data intensive applications and Internet-Of-Things Database and data management Distributed systems and applications Grid and cluster computing High-performance computing Internet computing and web services Middleware and tools Migration of computations Multi-clouds environments, cloud federation, interoperability Network and pervasive computing Novel parallel programming paradigms Performance simulations, measurement, and evaluations Reliability, fault tolerance, and security Social Networks, crowdsourcing, and P2P systems Virtualization of computing Network routing and communication algorithms High-performance scientific and engineering computing
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