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EASC 2016: Exascale Applications and Software Conference

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EASC
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截稿日期:
2016-03-21
通知日期:
2016-04-04
会议日期:
2016-04-26
会议地点:
Stockholm, Sweden
浏览: 15841   关注: 0   参加: 0

会伴指数 (CP-I)

42.1 / 100
全站第 4,157 名 / 共 5,689 个会议 · 前 74%

软件工程 第 212 / 247

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 1.1 · 算于 2026-10-01

征稿

EASC 2016 (Exascale Applications and Software Conference) is an academic conference held in Stockholm, Sweden on 2016-04-26. The paper submission deadline is 2016-03-21. Acceptance notifications are sent on 2016-04-04.

Exascale computing power will likely be reached in the next decade. While the precise system architectures are still evolving, one can safely assume that they will be largely based on deep hierarchies of multicore CPUs with similarly-deep memory hierarchies, potentially also supported by accelerators. The challenge of designing and implementing applications running efficiently at large scale on exascale platforms involves developers of application, libraries, programming models and system software. The aim of this conference is to bring together developers from different application fields to present the problems they face on the road to exascale, their approach to solve these challenges and to share their experience gained during the petascale period. Topics of interest include but are not limited to: - Design, implementation and optimization of applications for exascale, including: Computational Fluid Dynamics Weather Forecast Neuroinformatics Medical Applications Bioinformatics Material Science Particle Physics Quantum Mechanics Geophysics Fusion, Space and Astrophysical plasmas Reactor Physics Finance Oil and Gas Source Identification Molecular Dynamics Montecarlo Methods Spectral Methods Linear and Non-linear Systems Numerical Libraries Mini-applications and Benchmarks Data Analytics of Large Data-sets Visualization - Innovative algorithms for collective operations, for reducing communication/synchronization, for mixed precision calculations - Porting and optimization of applications on systems with accelerators - New concepts in MPI and PGAS communication libraries - Innovative parallel programming models, run-time and auto-tuning systems - Simulation of parallel applications on exascale machines - Performance monitoring tools - Debuggers and correctness checkers
由 Dou Sun 最后更新于

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