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检索条件"任意字段=14th Symposium on Large Data Analysis and Visualization"
538 条 记 录,以下是31-40 订阅
排序:
Standardized data-Parallel Rendering Using ANARI
Standardized Data-Parallel Rendering Using ANARI
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IEEE symposium on large data analysis and visualization (LDAV)
作者: Ingo Wald Stefan Zellmann Jefferson Amstutz Qi Wu Kevin Griffin Milan Jaros Stefan Wesner NVIDIA University of Cologne Davis University of California IT4Innovations VSB Technical University of Ostrava
We propose and discuss a paradigm that allows for expressing data-parallel rendering with the classically non-parallel ANARI API. We propose this as a new standard for data-parallel rendering, describe two different i... 详细信息
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Graphical Representation through a User Interface for In Situ Scientific visualization with Ascent
Graphical Representation Through a User Interface for In Sit...
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IEEE symposium on large data analysis and visualization (LDAV)
作者: Colleen Heinemann Jefferson Amstutz Joseph A. Insley Victor A. Mateevitsi Michael E. Papka Silvio Rizzi University of Illinois at Urbana-Champaign NVIDIA Argonne National Laboratory University of Illinois Chicago Northern Illinois University
this work presents a graphical user interface (GUI) designed to allow users to interactively create scientific visualizations and workflows with the in situ visualization software, Ascent [5]. Traditionally, in situ p... 详细信息
来源: 评论
data Shunt: Collaboration of Small and large Models for Lower Costs and Better Performance  38
Data Shunt: Collaboration of Small and Large Models for Lowe...
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38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th symposium on Educational Advances in Artificial Intelligence
作者: Chen, Dong Zhuang, Yueting Zhang, Shuo Liu, Jinfeng Dong, Su Tang, Siliang Zhejiang Univ Coll Comp Sci & Technol Hangzhou Peoples R China Zhejiang Univ Sch Software Technol Hangzhou Peoples R China Ant Grp Hangzhou Peoples R China
Pretrained large models, particularly large language models, have garnered increasing attention, as they have demonstrated remarkable abilities through contextual learning. Pre-trained large models are increasingly re... 详细信息
来源: 评论
A Customized Validator Recommender System for PoS Networks Using Similarity-Based Circular visualization
A Customized Validator Recommender System for PoS Networks U...
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IEEE symposium on large data analysis and visualization (LDAV)
作者: Jaeuk Lee Jisu Kim Hyunwoo Han Kyungwon Lee Department of Digital Media Ajou University Department of Business Intelligence Ajou University Stamper Co. Ltd
this study analyzes the impact of validator behavior on investor rewards in proof-of-stake (PoS) based blockchain networks and proposes a visualization system to assist investors in selecting appropriate validators. T... 详细信息
来源: 评论
Distributed Path Compression for Piecewise Linear Morse-Smale Segmentations and Connected Components
Distributed Path Compression for Piecewise Linear Morse-Smal...
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IEEE symposium on large data analysis and visualization (LDAV)
作者: Michael Will Jonas Lukasczyk Julien Tierny Christoph Garth RPTU Kaiserslautern-Landau CNRS and Sorbonne Université
this paper describes the adaptation to a distributed computational setting of a well-scaling parallel algorithm for computing Morse-Smale segmentations based on path compression. Additionally, we extend the algorithm ... 详细信息
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Identifying Locally Turbulent Vortices within Instabilities
Identifying Locally Turbulent Vortices within Instabilities
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IEEE symposium on large data analysis and visualization (LDAV)
作者: Fabien Vivodtzev Florent Nauleau Jean-Philippe Braeunig Julien Tierny CEA CESTA CNRS Sorbonne Université LIP6.
this work presents an approach for the automatic detection of locally turbulent vortices within turbulent 2D flows such as instabilites. First, given a time step of the flow, methods from Topological data analysis (TD... 详细信息
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Cross-Domain Contrastive Learning for Time Series Clustering  38
Cross-Domain Contrastive Learning for Time Series Clustering
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38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th symposium on Educational Advances in Artificial Intelligence
作者: Peng, Furong Luo, Jiachen Lu, Xuan Wang, Sheng Li, Feijiang Shanxi Univ Inst Big Data Sci & Ind Taiyuan Peoples R China Shanxi Univ Sch Comp & Informat Technol Taiyuan Peoples R China Shanxi Univ Coll Phys & Elect Engn Taiyuan Peoples R China Zhengzhou Univ Aeronaut Sch Automat Zhengzhou Peoples R China
Most deep learning-based time series clustering models concentrate on data representation in a separate process from clustering. this leads to that clustering loss cannot guide feature extraction. Moreover, most metho... 详细信息
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Visuals on the House: Optimizing HPC Workflows with No-Cost CPU visualization
Visuals on the House: Optimizing HPC Workflows with No-Cost ...
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IEEE symposium on large data analysis and visualization (LDAV)
作者: Victor A. Mateevitsi Andres Sewell Mathis Bode Paul Fischer Jens Henrik Göbbert Joseph A. Insley Ioannis Kavroulakis Damaskinos Konioris Yu-Hsiang Lan Misun Min Dimitrios Papageorgiou Michael E. Papka Steve Petruzza Silvio Rizzi Ananias Tomboulides Argonne National Laboratory University of Illinois Chicago Utah State University University of Illinois Urbana-Champaign Forschungszentrum Jülich Northern Illinois University Aristotle University of Thessaloniki
the rise of heterogeneous resources in modern High Performance Computing (HPC) systems has propelled the scientific community beyond the exascale threshold. To maximize simulation performance on HPCs, applications inc... 详细信息
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Exploring large-Scale Scientific data in Virtual Reality
Exploring Large-Scale Scientific Data in Virtual Reality
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IEEE symposium on large data analysis and visualization (LDAV)
作者: Idunnuoluwa A. Adeniji Joseph A. Insley David Joiner Victor A. Mateevitsi Michael E. Papka Silvio Rizzi Argonne National Laboratory Kean University Argonne National Laboratory Northern Illinois University Kean University Argonne National Laboratory University of Illinois Chicago
the conventional method of data exploration primarily relies on 2D and 3D visualization tools. However, with the advent of lower-cost virtual reality (VR) hardware, a transformation is underway. this study presents a ... 详细信息
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On the visualization of Hierarchical Multivariate data  14
On the Visualization of Hierarchical Multivariate Data
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14th IEEE Pacific visualization symposium (IEEE PacificVis)
作者: Zheng, Boyan Sadlo, Filip Heidelberg Univ Heidelberg Germany
In this paper, we study the visual design of hierarchical multivariate data analysis. We focus on the extension of four hierarchical univariate concepts-the sunburst chart, the icicle plot, the circular treemap, and t... 详细信息
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