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Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal data

引用

17th International Euro-Par conference on Parallel Processing

作者： Lakshminarasimhan, Sriram Shah, Neil Ethier, Stephane Klasky, Scott Latham, Rob Ross, Rob Samatova, Nagiza F. North Carolina State Univ Raleigh NC 27695 USA Oak Ridge Natl Lab Oak Ridge TN 37830 USA Princeton Plasma Phys Lab Princeton NJ 08543 USA Argonne Natl Lab Argonne IL 60439 USA

ISBN: (纸本)9783642234002

Modern large-scale scientific simulations running on HPC systems generate data in the order of terabytes during a single run. To lessen the I/O load during a simulation run, scientists are forced to capture data infrequently, thereby making data collection an inherently lossy process. Yet, lossless compression techniques are hardly suitable for scientific data due to its inherently random nature;for the applications used here, they offer less than 10% compression rate. They also impose significant overhead during decompression, making them unsuitable for data analysis and visualization that require repeated data access. To address this problem, we propose an effective method for In-situ Sort-And-B-spline Error-bounded Lossy Abatement (ISABELA) of scientific data that is widely regarded as effectively incompressible. With ISABELA, we apply a preconditioner to seemingly random and noisy data along spatial resolution to achieve an accurate fitting model that guarantees a >= 0.99 correlation with the original data. We further take advantage of temporal patterns in scientific data to compress data by approximate to 85%, while introducing only a negligible overhead on simulations in terms of runtime. ISABELA significantly outperforms existing lossy compression methods, such as Wavelet compression. Moreover, besides being a communication-free and scalable compression technique, ISABELA is an inherently local decompression method, namely it does not decode the entire data, making it attractive for random access.

关键词： Lossy Compression B-spline In-situ Processing data-intensive Application High Performance Computing

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visualization of the current fields in Caofeidian sea area based on GIS

Visualization of the current fields in Caofeidian sea area b...

引用

IEEE International conference on Computer Science and Automation Engineering (CSAE)

作者： Cuiping Kuang Yonghui Huang Rui Huo Yi Pan Maohui Zheng Department of Hydraulic Engineering School of Civil Engineering University of Tongji Shanghai China Shanghai Institute of Disaster Prevention and Relief University of Tongji Shanghai China

Nowadays, in the research field of field-related survey or numerical modeling, data post-processing is often completed using of the third-party softwares, which may have difficult on the storage and management of the large amount of data and figures. A convenient way is needed to process the field data. In this paper, ArcGIS is utilized to realize visualization of the tidal current computed from the hydrodynamic model of Caofeidian sea area. In virtue of the interface of ArcGIS and the numerical model, the changes of flow field of the study area before and after the project are shown clearly and friendly, which provides great help and convenience for the data analysis.

关键词： data visualization Geographic Information Systems Hydrodynamics Numerical models data models Numerical simulation Floods

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3D visualization of temporal changes in bloggers' activities and interests

3D Visualization of temporal changes in bloggers' activities...

引用

IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Masahiko Itoh Naoki Yoshinaga Masashi Toyoda Masaru Kitsuregawa Institute of Industrial Science University of Tokyo Japan

This paper presents a novel system for analyzing temporal changes in bloggers' activities and interests on a topic through a 3D visualization of dependency structures related to the topic. Having a dependency database built from a blog archive, our 3D visualization framework helps users to interactively exploring temporal changes in bloggers' activities and interests related to the topic.

关键词： visualization Blogs Three dimensional displays databases Time frequency analysis Educational institutions data visualization

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analysis of large digital collections with interactive visualization

Analysis of large digital collections with interactive visua...

引用

IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Weijia Xu Maria Esteva Suyog Dutt Jain Varun Jain University of Texas Austin USA

To make decisions about the long-term preservation and access of large digital collections, archivists gather information such as the collections' contents, their organizational structure, and their file format composition. To date, the process of analyzing a collection - from data gathering to exploratory analysis and final conclusions - has largely been conducted using pen and paper methods. To help archivists analyze large-scale digital collections for archival purposes, we developed an interactive visual analytics application. The application narrows down different kinds of information about the collection, and presents them as meaningful data views. Multiple views and analysis features can be linked or unlinked on demand to enable researchers to compare and contrast different analyses, and to identify trends. We describe and present two user scenarios to show how the application allowed archivists to learn about a collection with accuracy, facilitated decision-making, and helped them arrive at conclusions.

关键词： data visualization visualization Rendering (computer graphics) data mining Image color analysis Layout Analytical models

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Information visualization in Climate Research

Information Visualization in Climate Research

引用

International conference on Information Visualisation (IV)

作者： Christian Tominski Jonathan F. Donges Thomas Nocke University of Rostock Rostock Germany Potsdam Institute of Climate Impact Research Potsdam Germany Humboldt University of Berlin Berlin Germany

Much of the work conducted in climate research involves large and heterogeneous datasets with spatial and temporal references. This makes climate research an interesting application area for visualization. However, the application of interactive visual methods to assist in gaining insight into climate data is still hampered for climate research scientists, who are usually not visualization experts. In this paper, we report on a survey that we conducted to evaluate the application of interactive visualization methods and to identify the problems related to establishing such methods in scientific practice. The feedback from 76 participants shows clearly that state-of-the-art techniques are rarely applied and that integrating existing solutions smoothly into the scientists workflow is problematic. We have begun to change this and present first results that illustrate how interactive visualization tools can be successfully applied to accomplish climate research tasks. As a concrete example, we describe the visualization of climate networks and its benefits for climate impact research.

关键词： Meteorology data visualization visualization Sea measurements Ocean temperature Time series analysis Correlation

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Unifying the Integration, analysis and Interpretation of multi-omic datasets: Exploration of the disease networks of Obstructive Nephropathy in children

Unifying the Integration, Analysis and Interpretation of mul...

引用

Annual International conference of the IEEE Engineering in Medicine and Biology Society

作者： Panagiotis Moulos Ioannis Valavanis Julie Klein Ilias Maglogiannis Joost Schanstra Aristotelis Chatziioannou Institute of Biological Research and Biotechnology National Hellenic Research Foundation Institut National de la Sante et de la Recherche Medicale (INSERM) University of Central Greece

ISBN: (纸本)9781424441211

The wealth of data amassed by the utilization of various high-throughput techniques, in various layers of molecular dissection, stresses the critical role of the unification of the computational methodologies applied in biological data handling, storage, analysis and visualization. In this article, a generic workflow is showcased in a multi-omic dataset that is used to study Obstructive Nephropathy (ON) in children, integrating microarray data from several biological layers (transcriptomic, post-transcriptomic, proteomic). The workflow exploits raw measurements and through several analytical stages (preprocessing, statistical and functional), which entail various parsing steps, reaches the visualization stage of the heterogeneous, broader, molecular interacting network derived. This network, where the interconnected entities are exploiting the knowledge stored in public repositories, represents a systems level interpretation of the pathological state probed.

关键词： obstructive nephropathy dataset visualization Child Biological data Workflow interpretation Exploration

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OpenGL-Based Cloud Computing Model of Three-Dimensional visualization of the Mine

OpenGL-Based Cloud Computing Model of Three-Dimensional Visu...

引用

International conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Wei Huang Huajun Wang Qian Zou Hanyu Lu College of Information Science and Technology Chengdu University of Technology Chengdu China

On the characteristics of cloud computing research, build a server platform, highlighting the rapid processing of data using it to store data capacity and security, in this based on OpenGL-based visualization design of mine .With three-dimensional data fusion, the abstract data becomes intuitive, image, improve rapid response capabilities, improve the modernization level of the mine management.

关键词： Cloud computing Graphics Computational modeling Educational institutions Solid modeling Image color analysis

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Visual exploration of cash flow chains

Visual exploration of cash flow chains

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Federated conference on Computer Science and Information Systems (FedCSIS)

作者： Jerzy Korczak Walter Łuszczyk Uniwersytet Ekonomiczny Wroclaw Poland

The paper proposes a new method for interactive visual exploration of the chains of financial transactions, assisting an analyst in the detection of money laundering operations. The method mainly concerns searching, displaying and annotating selected groups of transactions from a database. We show how one can programmatically and interactively reduce the volume of the chains surveyed and limit the analysis to the most suspicious transactions. In order to improve readability of the transaction graph, an evolution-based algorithm has been designed to optimize its visual representation. The system is verified on the real-life database of financial transactions. The experiments conducted have shown that allowing visual exploration, one can accelerate the search process and enrich the data analysis.

关键词： databases visualization Evolutionary computation Optimization data visualization Filtering data mining

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Omnidirectional 3D visualization for the analysis of a Large-Scale Corpus: Tripitaka Koreana

Omnidirectional 3D Visualization for the Analysis of a Large...

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International conference on Culture and Computing (Culture Computing)

作者： Sarah Kenderdine Lew Lancaster Howie Lan Tobias Gremmler ALiVE City University Hong Kong China ECAI University of California Berkeley USA City University Hong Kong China

This paper presents the research and development of a new omni spatial visualization framework for the collaborative interrogation of the world's largest Buddhist textual canon, using the worlds' first panoramic stereoscopic visualization environment - the Advanced visualization and Interaction Environment (AVIE). The work is being undertaken at a new research facility, The Applied Laboratory for Interactive visualization and Embodiment (ALiVE), City University of Hong Kong. The dataset used is the Chinese Buddhist Canon, Koryo version (Tripitaka Korean a) in classical Chinese, the with 52 million glyphs carved on 83,000 printing blocks in 13th century Korea. The digitized version of this Canon (a project led by University of California Berkeley) contains metadata that links to geospatial positions, contextual images of locations referenced in the text, and to the original rubbings of the wooden blocks. Each character has been abstracted to a 'blue dot' to enable rapid search and pattern visualization. Omni spatial refers to the ability to distribute this data in 360-degrees around the user where the virtually presented visual space is in three dimensions (3D). The project's omni directional interactive techniques for corpora representation and interrogation offer a unique framework for enhanced cognition and perception in the analysis of this dataset.

关键词： data visualization Visual analytics Three dimensional displays Educational institutions Social network services Cognition

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Reverse Engineering Co-maintenance Relationships Using Conceptual analysis of Source Code

Reverse Engineering Co-maintenance Relationships Using Conce...

引用

Working conference on Reverse Engineering

作者： Scott Grant James R. Cordy David B. Skillicorn Queens University Kingston Canada

In this work, we explore the relationship between topic models and co-maintenance history by introducing a visualization that compares conceptual cohesion within change lists. We explain how this view of the project history can give insight about the semantic architecture of the code, and we identify a number of patterns that characterize particular kinds of maintenance tasks. We examine the relationship between co-maintenance history and concept location, and visualize the distribution of changes across concepts to show how these techniques can be used to predict co-maintenance of source code methods.

关键词： History Cloning data models Large scale integration data visualization visualization Maintenance engineering

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