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HPC 2019: High Performance Computing Symposium

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截稿日期:
2019-01-08 Extended
通知日期:
2019-02-08
会议日期:
2019-04-29
会议地点:
Tucson, Arizona, USA
届数:
27
浏览: 18113   关注: 7   参加: 3

会伴指数 (CP-I)

52.0 / 100
全站第 1,193 名 / 共 5,682 个会议 · 前 21%

系统与体系结构 第 136 / 341

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%)
90
社区关注 (10%)
28
资料公开度 (15%)
25

用到的输入: 有据可查的届次：27 · 在会伴关注它的研究者：7 人 · 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 45% —— 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 2026-09-20

征稿

HPC 2019 (High Performance Computing Symposium) is an academic conference held in Tucson, Arizona, USA on 2019-04-29. The paper submission deadline is 2019-01-08 (extended). Acceptance notifications are sent on 2019-02-08.

The 2019 Spring Simulation Multi-Conference will feature the 27th High Performance Computing Symposium (HPC 2019), devoted to the impact of high performance computing and communications on simulations. Advances in novel and heterogeneous architectures, high-end computers, large data stores are ushering in a new era of high performance parallel and distributed simulations. Along with these new capabilities come new challenges in computing and system modeling. The goal of HPC 2019 is to encourage innovation in high performance computing and communication technologies and to promote synergistic advances in modeling methodologies and simulation. It will promote the exchange of ideas and information between universities, industry, supercomputing centers, and national laboratories about new developments in system modeling, high performance computing and communication, scientific computing as well as simulation. Topics of interest include but are not limited to: High performance computing issues in Big Data analytics High performance/large scale application case studies GPU for general purpose computations (GPGPU) Accelerator and co-processor computing Multicore and many-core computing Exascale challenges Power aware computing Cloud, distributed, and grid computing Asynchronous numerical methods and programming Hybrid system modeling and simulation Hybrid parallel or distributed algorithms Large scale visualization and data management Tools and environments for coupling parallel codes Parallel algorithms and architectures High performance software tools and techniques Resilience at the simulation level Reproducibility of application performance results
由 Dou Sun 最后更新于

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