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Michael Gowanlock, Henri Casanova
Applications in many domains require processing moving object trajectories. In this work, we focus on a trajectory similarity search that finds all trajectories within a given distance of a query trajectory over a time interval, which we call the distance threshold similarity search. We develop three indexing strategies with spatial, temporal and spatiotemporal selectivity for […]
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Mahsa Bayati, Jaydeep P. Bardhan, David M. King, Miriam Leeser
For modeling proteins in conformational states, two methods of representation are used: internal coordinates and Cartesian coordinates. Each of these representations contain a large amount of structural and simulation information. Different processing steps require one or the other representation. Our goal is to rapidly translate between these coordinate spaces so that a scientist can choose […]
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Alaettin Zubaroglu
Radar producers, which are mostly in defense industry, need radar environment simulator to test their products during the development. Such a simulator helps them to be able to get rid of costly field tests. For developing a radar environment simulator, radio wave propagation should be modeled. However, this is a computationally expensive and time consuming […]
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Chulian Zhang, Hamed Tabkhi, Gunar Schirner
Background subtraction is an essential first stage in many vision applications differentiating foreground pixels from the background scene, with Mixture of Gaussians (MoG) being a widely used implementation choice. MoG’s high computation demand renders a real-time single threaded realization infeasible. With it’s pixel level parallelism, deploying MoG on top of parallel architectures such as a […]
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Sreeram Potluri
Accelerators (such as NVIDIA GPUs) and coprocessors (such as Intel MIC/Xeon Phi) are fueling the growth of next-generation ultra-scale systems that have high compute density and high performance per watt. However, these many-core architectures cause systems to be heterogeneous by introducing multiple levels of parallelism and varying computation/communication costs at each level. Application developers also […]
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Michael Gowanlock, Henri Casanova
The processing of moving object trajectories arises in many application domains. We focus on a trajectory similarity search, the distance threshold search, which finds all trajectories within a given distance of a query trajectory over a time interval. A multithreaded CPU implementation that makes use of an in-memory R-tree index can achieve high parallel efficiency. […]
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Yushan Wang, Marc Baboulin, Karl Rupp, Oliver Le Maitre, Yann Fraigneau
This paper describes a hybrid multicore/GPU solver for the incompressible Navier-Stokes equations with constant coefficients, discretized by the finite difference method. By applying the prediction-projection method, the Navier-Stokes equations are transformed into a combination of Helmholtzlike and Poisson equations for which we describe efficient solvers. As an extension of our previous paper [1], this paper […]
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Paula Roquero Fuentes
Traffic analysis is an essential part of capacity planning, quality of service assurance and reinforcement of security in current telecommunication networks. As the network speed increases so does the traffic volume and the analysis of large traffic traces is computationally intensive. This document presents a flow extraction software that allows obtaining TCP flow records at […]
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M. Leeser, S. Mukherjee, J. Brock
Biomedical image reconstruction applications require producing high fidelity images in or close to real-time. We have implemented reconstruction of three dimensional conebeam computed tomography(CBCT) with two dimensional projections. The algorithm takes slices of the target, weights and filters them to backproject the data, then creates the final 3D volume. We have implemented the algorithm using […]
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Keisuke Konno, Qiang Chen, Hajime Katsuda
Various guidelines for acceleration of MoM by GPU computing are summarized. Acceleration of direct/iterative solver for MoM by using GPU is realized. Quantitative study of computing time shows the performance of each guideline.
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Robest Kessl, Nilothpal Talukder, Pranay Anchuri, Mohammed J. Zaki
Frequent graph mining is an important though computationally hard problem because it requires enumerating possibly an exponential number of candidate subgraph patterns, and checking their presence in a database of graphs. In this paper, we propose a novel approach for parallel graph mining on GPUs, which have emerged as a relatively cheap but powerful architecture […]
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Matthew R. Smith, Yen-Chih Chen
The Kinetic Theory of Gases has long been established as a useful tool for the solution of modern Computational Fluid Dynamics (CFD) problems. Together with the Finite Volume Method, such approaches have been popular in CFD for over 30 years, with techniques such as the Equilibrium Flux Method (EFM) or Kinetic Flux Vector Splitting (KFVS), […]
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