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检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"
15528 条 记 录,以下是331-340 订阅
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Parallel Partial Reduction for large-Scale data analysis and visualization  8
Parallel Partial Reduction for Large-Scale Data Analysis and...
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8th ieee symposium on large-Scale data analysis and visualization (LDAV)
作者: He, Wenbin Guo, Hanqi Peterka, Tom Di, Sheng Cappello, Franck Shen, Han-Wei Ohio State Univ Dept Comp Sci & Engn Columbus OH 43210 USA Argonne Natl Lab Math & Comp Sci Div Lemont IL USA
We present a novel partial reduction algorithm to aggregate sparsely distributed intermediate results that are generated by data-parallel analysis and visualization algorithms. Applications of partial reduction includ... 详细信息
来源: 评论
Scalable visualization of Discrete Velocity Decompositions Using Spatially Organized Histograms  5
Scalable Visualization of Discrete Velocity Decompositions U...
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ieee 5th symposium on large data analysis and visualization (LDAV)
作者: Neuroth, Tyson Sauer, Franz Wang, Weixing Ethier, Stephane Ma, Kwan-Liu Univ Calif Davis Davis CA 95616 USA Princeton Plasma Phys Lab Princeton NJ 08543 USA
Visualizing the velocity decomposition of a group of objects has applications to many studied data types, such as Lagrangian-based flow data or geospatial movement data. Traditional visualization techniques are often ... 详细信息
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data Parallel Hypersweeps for in Situ Topological analysis  10
Data Parallel Hypersweeps for in Situ Topological Analysis
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10th ieee symposium on large data analysis and visualization (LDAV)
作者: Hristov, Petar Weber, Gunther H. Carr, Hamish A. Rubel, Oliver Ahrens, James P. Univ Leeds Leeds W Yorkshire England Lawrence Berkeley Natl Lab Berkeley CA USA Univ Calif Davis Davis CA 95616 USA Los Alamos Natl Lab Los Alamos NM USA
The contour tree is a tool for understanding the topological structure of a scalar field. Recent work has built efficient contour tree algorithms for shared memory parallel computation, driven by the need to analyze l... 详细信息
来源: 评论
Interactive visualization of Terascale data in the Browser: Fact or Fiction?  10
Interactive Visualization of Terascale Data in the Browser: ...
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10th ieee symposium on large data analysis and visualization (LDAV)
作者: Usher, Will Pascucci, Valerio Univ Utah SCI Inst Salt Lake City UT 84112 USA
Information visualization applications have become ubiquitous, in no small part thanks to the ease of wide distribution and deployment to users enabled by the web browser. Scientific visualization applications, relyin... 详细信息
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Discovery of Rating Fraud with Real-Time Streaming Visual Analytics  12
Discovery of Rating Fraud with Real-Time Streaming Visual An...
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ieee 5th symposium on large data analysis and visualization (LDAV)
作者: Webga, Kodzo Lu, Aidong Univ N Carolina Charlotte NC 28223 USA
The rating fraud in online e-commerce stores targets at receiving large revenues through boosting the popularity of selected items with fake ratings. The challenges of detecting rating frauds come from discovering sma... 详细信息
来源: 评论
Block-Parallel data analysis with DIY2  6
Block-Parallel Data Analysis with DIY2
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6th ieee symposium on large data analysis and visualization (LDAV)
作者: Morozov, Dmitriy Peterka, Tom Lawrence Berkeley Natl Lab Berkeley CA USA Argonne Natl Lab Argonne IL 60439 USA
DIY2 is a programming model and runtime for block-parallel analytics on distributed-memory machines. Its main abstraction is block-structured data parallelism: data are decomposed into blocks;blocks are assigned to pr... 详细信息
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Maximal Clique Enumeration with data-Parallel Primitives  7
Maximal Clique Enumeration with Data-Parallel Primitives
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ieee 7th symposium on large data analysis and visualization (LDAV)
作者: Lessley, Brenton Perciano, Talita Mathai, Manish Childs, Hank Bethel, E. Wes Univ Oregon Eugene OR 97403 USA Lawrence Berkeley Natl Lab Berkeley CA USA
The enumeration of all maximal cliques in an undirected graph is a fundamental problem arising in several research areas. We consider maximal clique enumeration on shared-memory, multi-core architectures and introduce... 详细信息
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A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection  9
A Lifeline-Based Approach for Work Requesting and Parallel P...
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9th ieee symposium on large data analysis and visualization (LDAV)
作者: Binyahib, Roba Pugmire, David Norris, Boyana Childs, Hank Univ Oregon Eugene OR 97403 USA Oak Ridge Natl Lab Oak Ridge TN USA
Particle advection. a fundamental building block for many flow visualization algorithms, is very difficult to parallelize efficiently. That said, work requesting is a promising technique to improve parallel performanc... 详细信息
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CEDARS: Combined Exploratory data analysis Recommender System  5
CEDARS: Combined Exploratory Data Analysis Recommender Syste...
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ieee 5th symposium on large data analysis and visualization (LDAV)
作者: Livingston, Mark A. Russell, Stephen Decker, Jonathan W. Leadbetter, Eric Gilliam, Antonio
We present a framework for recommender systems (RS) to support exploratory data analysis (EDA) in analytical decision making. EDA helps the domain expert, often not a statistical expert, discover interesting relations... 详细信息
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Contour Forests: Fast Multi-threaded Augmented Contour Trees  6
Contour Forests: Fast Multi-threaded Augmented Contour Trees
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6th ieee symposium on large data analysis and visualization (LDAV)
作者: Gueunet, Charles Fortin, Pierre Jomier, Julien Tierny, Julien UPMC Univ Paris 06 Sorbonne Univ CNRS Kitware SASLIP6 UMR 7606 Paris France UPMC Univ Paris 06 Sorbonne Univ CNRS LIP6 UMR 7606 Paris France Kitware SAS Villeurbanne France
This paper presents a new algorithm for the fast, shared memory multi-threaded computation of contour trees on tetrahedral meshes. In contrast to previous multi-threaded algorithms, our technique computes the augmente... 详细信息
来源: 评论