Search Results - "Applied computing Physical sciences and engineering Mathematics and statistics"

ComPLx: A Competitive Primal-dual Lagrange Optimization for Global Placement by Kim, Myung-Chul, Markov, Igor L.

“…We develop a projected-subgradient primal-dual Lagrange optimization for global placement, that can be instantiated with a variety of interconnect models. It…”
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High Performance Monte Carlo Simulation of Ising Model on TPU Clusters by Yang, Kun, Chen, Yi-Fan, Roumpos, Georgios, Colby, Chris, Anderson, John

“…Large-scale deep learning benefits from an emerging class of AI accelerators. Some of these accelerators'designs are general enough for compute-intensive…”
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Dynamic river network simulation at large scale by Liu, Frank, Hodges, Ben R.

“…Fully dynamic modeling of large scale river networks is still a challenge. In this paper we describe SPRINT, an inter-disciplinary collaborative effort between…”
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High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo by Seelinger, Linus, Reinarz, Anne, Rannabauer, Leonhard, Bader, Michael, Bastian, Peter, Scheichl, Robert

“…Numerical models of complex real-world phenomena often necessitate High Performance Computing (HPC). Uncertainties increase problem dimensionality further and…”
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Efficient Forward Computation of Dynamic Slices Using Reduced Ordered Binary Decision Diagrams by Zhang, Xiangyu, Gupta, Rajiv, Zhang, Youtao

“…Dynamic slicing algorithms can greatly reduce the debuggingeffort by focusing the attention of the user on a relevantsubset of program statements. Recently…”
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A Dynamic Algorithm for Updating Katz Centrality in Graphs by Nathan, Eisha, Bader, David A.

“…Many large datasets from a variety of fields of research can be represented as graphs. A common query is to identify the most important, or highly ranked,…”
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Predictive QoS routing to mobile sinks in wireless sensor networks by Kusy, Branislav, Lee, HyungJune, Wicke, Martin, Milosavljevic, Nikola, Guibas, Leonidas

“…We present an algorithm for data delivery to mobile sinks in wireless sensor networks. Our algorithm is based on information potentials, which we extend to…”
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Efficient Privacy-Aware Record Integration by Kuzu, Mehmet, Kantarcioglu, Murat, Inan, Ali, Bertino, Elisa, Durham, Elizabeth, Malin, Bradley

“…The integration of information dispersed among multiple repositories is a crucial step for accurate data analysis in various domains. In support of this goal,…”
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Greedy routing with guaranteed delivery using Ricci flows by Sarkar, Rik, Yin, Xiaotian, Gao, Jie, Luo, Feng, Gu, Xianfeng David

“…Greedy forwarding with geographical locations in a wireless sensor network may fail at a local minimum. In this paper we propose to use conformal mapping to…”
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Batch Mode Active Sampling based on Marginal Probability Distribution Matching by Chattopadhyay, Rita, Wang, Zheng, Fan, Wei, Davidson, Ian, Panchanathan, Sethuraman, Ye, Jieping

“…Active Learning is a machine learning and data mining technique that selects the most informative samples for labeling and uses them as training data; it is…”
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Useful statistical methods for human factors research in software engineering: a discussion on validation with quantitative data by Gren, Lucas, Goldman, Alfredo

“…In this paper we describe the usefulness of statistical validation techniques for human factors survey research. We need to investigate a diversity of validity…”
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Scalable implicit finite element solver for massively parallel processing with demonstration to 160K cores by Sahni, Onkar, Zhou, Min, Shephard, Mark S., Jansen, Kenneth E.

“…Implicit methods for partial differential equations using unstructured meshes allow for an efficient solution strategy for many real-world problems (e.g.,…”
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A statistical framework for streaming graph analysis by Fairbanks, James, Ediger, David, McColl, Rob, Bader, David A., Gilbert, Eric

“…In this paper we propose a new methodology for gaining insight into the temporal aspects of social networks. In order to develop higher-level, large-scale data…”
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Incremental Multi-manifold Out-of-Sample Data Prediction by Zhongxin Liu, Wenmin Wang, Ronggang Wang

“…A lot of manifold learning algorithms have been developed, which are used to learn a low dimensional model on a manifold representing large numbers of data in…”
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How Does Label Propagation Algorithm Work in Bipartite Networks? by Liu, Xin, Murata, Tsuyoshi

“…Community detection in networks receives much attention recently. In this paper, we investigate a recently proposed community detection algorithm—label…”
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CA-ABAC: Class Algebra Attribute-Based Access Control by Buehrer, D. J., Chun-Yao Wang

“…We propose a trust framework model for an educational cloud which is designed to overcome inequalities of M-shaped incomes by simplifying contract-based…”
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I/O streaming evaluation of batch queries for data-intensive computational turbulence by Kanov, Kalin, Perlman, Eric, Burns, Randal, Ahmad, Yanif, Szalay, Alexander

“…We describe a method for evaluating computational turbulence queries, including Lagrange Polynomial interpolation, based on partial sums that allows the…”
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Acquisition, filtering and toll data processing system for obtaining origin-destination matrix and travel times on highways by Gimeno, Ramón V. Cirilo, Celda, Antonio García, Gómez, Pablo Mir

“…This paper presents an acquisition, filtering and real-time toll data processing system that provides a base for resolution and generation of studies and…”
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Secure-TWS: Authenticating node to multi-user communication in shared sensor networks by Oliveira, Leonardo B., Kansal, Aman, Priyantha, Bodhi, Goraczko, Michel, Zhao, Feng

“…Recent works have shown the usefulness of network and application layer protocols that connect low power sensor nodes directly to multiple applications and…”
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Complex-valued contour meshing by Weigle, Chris, Banks, David C.

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