Suchergebnisse - large-scale scientific data analytics and visualization

Scalable Parallel Distance Field Construction for Large-Scale Applications von Hongfeng Yu, Jinrong Xie, Kwan-Liu Ma, Kolla, Hemanth, Chen, Jacqueline H.

“… Our method supports several data types and distance metrics from real-world applications. We demonstrate its efficiency and scalability on state-of-the-art supercomputers using both large-scale …”
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A proposed social network analysis platform for big data analytics von Chang, Victor

“… Results can be extracted and presented in data visualization. Six functions in the SocialNetwork API have evaluation tests, including a large scale of 50,000simulations completed within 60,000s …”
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Analytic framework for peptidomics applied to large-scale neuropeptide identification von Secher, Anna, Kelstrup, Christian D., Conde-Frieboes, Kilian W., Pyke, Charles, Raun, Kirsten, Wulff, Birgitte S., Olsen, Jesper V.

“… Here we present a streamlined analytical pipeline for large-scale peptidomics. We developed an optimized sample preparation protocol to achieve fast, reproducible …”
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234Compositor: A flexible parallel image compositing framework for massively parallel visualization environments von Nonaka, Jorji, Ono, Kenji, Fujita, Masahiro

“… Leading-edge HPC systems have already been generating a vast amount of time-varying complex data sets, and future-generation HPC systems are expected to produce much higher amounts of such data, thus …”
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HIVE: A cross-platform, modular visualization framework for large-scale data sets von Ono, Kenji, Nonaka, Jorji, Kawanabe, Tomohiro, Fujita, Masahiro, Oku, Kentaro, Hatta, Kazuma

“… ” class of simulations with unprecedented scale. This significant increase in the simulation scale has directly imposed a pressure on the entire end-to-end simulation workflow, which includes the pre- and post-processing such as the visualization …”
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CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data von Hazarika, Subhashis, Dutta, Soumya, Han-Wei Shen, Jen-Ping Chen

“… A common strategy to deal with large-scale scientific simulation data is to partition the simulation domain and create statistical data summaries …”
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Distribution-based Particle Data Reduction for In-situ Analysis and Visualization of Large-scale N-body Cosmological Simulations von Li, Guan, Xu, Jiayi, Zhang, Tianchi, Shan, Guihua, Shen, Han-Wei, Wang, Ko-Chih, Liao, Shihong, Lu, Zhonghua

“… To alleviate the problem, we design an in-situ data reduction method for large-scale unstructured particle data …”
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A Combined Eulerian-Lagrangian Data Representation for Large-Scale Applications von Sauer, Franz, Jinrong Xie, Kwan-Liu Ma

“… As a result, many large-scale simulations produce data in both formats, and analysis tasks that simultaneously utilize information from both representations are becoming increasingly popular …”
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Large-scale comparative visualisation of sets of multidimensional data von Vohl, Dany, Barnes, David G., Fluke, Christopher J., Poudel, Govinda, Georgiou-Karistianis, Nellie, Hassan, Amr H., Benovitski, Yuri, Wong, Tsz Ho, Kaluza, Owen L., Nguyen, Toan D., Bonnington, C. Paul

“… We present encube —a qualitative, quantitative and comparative visualisation and analysis system, with application to high-resolution, immersive three-dimensional environments and desktop displays …”
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Cloud enabled data analytics and visualization framework for health-shocks prediction von Mahmud, Shahid, Iqbal, Rahat, Doctor, Faiyaz

“… In this paper, we present a data analytics and visualization framework for health-shocks prediction based on large-scale health informatics dataset …”
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Fast and Efficient Compression of Floating-Point Data von Lindstrom, P., Isenburg, M.

“… Large scale scientific simulation codes typically run on a cluster of CPUs that write/read time steps to/from a single file system …”
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Volume-Based Space-Time Cube for Large-Scale Continuous Spatial Time Series von Deng, Zikun, Huang, Jiabao, Ruan, Chenxi, Li, Jialing, Gao, Shaowu, Cai, Yi

“… Spatial time series visualization offers scientific research pathways and analytical decision-making tools across various spatiotemporal domains …”
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Exploring the integration of big data analytics in landscape visualization and interaction design von Yang, Xiaoqing, Sitharan, Roopesh, Sharji, Elyna Amir, Feng, He

“… This paper proposes a big data analytics framework using MapReduce-based parallel FP-growth (MP-PFP …”
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From Local to Remote: Scaling VisIVO Visual Analytics for Large-Scale Astrophysical Data Visualization von Tudisco, Giuseppe, Vitello, Fabio, Sciacca, Eva, Becciani, Ugo

“… This paper presents the latest developments of VisIVO Visual Analytics, an interactive visualization tool that is evolving to meet the needs of the SKA and similar large-scale astrophysical projects …”
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Visualization of large-scale aqueous solubility data using a novel hierarchical data visualization technique von Yamashita, Fumiyoshi, Itoh, Takayuki, Hara, Hideto, Hashida, Mitsuru

“… We present here a novel hierarchical data visualization technique, named "HeiankyoView", to visualize large-scale multidimensional chemical information …”
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Variable Interactions in Query-Driven Visualization von Gosink, Luke, Anderson, John, Bethel, Wes, Joy, Kenneth

“… Our ability to generate ever-larger, increasingly-complex data, has established the need for scalable methods that identify, and provide insight into, important variable trends and interactions …”
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Building a scientific workflow framework to enable real‐time machine learning and visualization von Li, Feng, Song, Fengguang

“… Summary Nowadays, we have entered the era of big data. In the area of high performance computing, large …”
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A scalable messaging system for accelerating discovery from large scale scientific simulations von Jin, Tong, Zhang, Fan, Parashar, Manish, Klasky, Scott, Podhorszki, Norbert, Abbasi, Hasan

“… Recently, data-staging approaches along with in-situ and in-transit analytics have been proposed to address these challenges by offloading I/O and/or moving data processing closer to the data …”
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On the utilization of principal component analysis in laser-induced breakdown spectroscopy data analysis, a review von Pořízka, Pavel, Klus, Jakub, Képeš, Erik, Prochazka, David, Hahn, David W., Kaiser, Jozef

“… The interest in PCA is not caused only by the basic need to obtain a fast data visualization on a lower dimensional scale and to inspect the most prominent …”
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Analyzing Large-Scale Twitter Real Time Streaming Data with Manifold Machine Learning Algorithms in Apache SPARK von Abhineswari, M, Priyadarshini, R

“… This research paper combines Apache Spark, machine learning techniques, and data visualization methods to analyze sentiment patterns in streaming Twitter data …”
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