Search Results - "data-parallel algorithms"

Scalable Contour Tree Computation by Data Parallel Peak Pruning by Carr, Hamish A., Weber, Gunther H., Sewell, Christopher M., Rubel, Oliver, Fasel, Patricia, Ahrens, James P.

“…As data sets grow to exascale, automated data analysis and visualization are increasingly important, to intermediate human understanding and to reduce demands…”
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Intelligent Online Shared Home Design Based on Big Data Parallel Algorithms by Yang, Ying, Zhang, Xilin, Gao, Jialin, He, Meihui, Zhang, Wenhui, Jiang, Jiayin, Hou, Wenjing, Cai, Kai, Ling, Tingting

“…As the overall economic strength of China continues to improve and people's quality of life continues to improve, the application of high-quality engineering…”
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Data-Parallel Algorithms for String Diagrams by Wilson, Paul, Zanasi, Fabio

“…We give parallel algorithms for string diagrams represented as structured cospans of ACSets. Specifically, we give linear (sequential) and logarithmic…”
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Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms by Zhu, Guanghui, Wang, Qian, Tang, Qiwei, Gu, Rong, Yuan, Chunfeng, Huang, Yihua

“…Functional dependencies (FDs) play a very important role in many data management tasks such as schema normalization, data cleaning, and query optimization…”
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Simulating heterogeneous behaviours in complex systems on GPUs by Chimeh, Mozhgan K., Richmond, Paul

“…Agent Based Modelling (ABM) is an approach for modelling dynamic systems and studying complex and emergent behaviour. ABMs have been widely applied in diverse…”
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Scalable Contour Tree Computation by Data Parallel Peak Pruning by Carr, Hamish A., Weber, Gunther H., Sewell, Christopher M., Rubel, Oliver, Fasel, Patricia, Ahrens, James P.

“…As data sets grow to exascale, automated data analysis and visualization are increasingly important, to intermediate human understanding and to reduce demands…”
Get full text

Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms by Gu, Rong, Tang, Yun, Tian, Chen, Zhou, Hucheng, Li, Guanru, Zheng, Xudong, Huang, Yihua

“…Matrix multiplication is a dominant but very time-consuming operation in many big data analytic applications. Thus its performance optimization is an important…”
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Efficient data parallel algorithms for multidimensional array operations based on the EKMR scheme for distributed memory multicomputers by Lin, Chun-Yuan, Chung, Yeh-Ching, Liu, Jen-Shiuh

“… Since parallel multidimensional array operations have been an extensively investigated problem, we present efficient data parallel algorithms for multidimensional array operations based on the EKMR…”
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A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units by Lysenko, Mikola, D'Souza, Roshan M

“…Agent-based modeling is a technique for modeling dynamic systems from the bottom up. Individual elements of the system are represented computationally as…”
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Data-parallel algorithms for large-scale real-time simulation of the cellular potts model on graphics processing units by Tapia, J.J., D'Souza, R.

“…In the following paper we present techniques for data-parallel execution of the cellular potts model (CPM) on graphics processing units (GPUs). We have…”
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Pipelined execution of data-parallel algorithms by Gorev, Maksim, Ubar, Raimund

“…A combination of pipelining and data-parallel execution on multiprocessor systems is proposed. The use of pipelining in coarse-grained data-parallel…”
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Scalable data parallel algorithms for texture synthesis using Gibbs random fields by Bader, D.A., JaJa, J., Chellappa, R.

“…This article introduces scalable data parallel algorithms for image processing. Focusing on Gibbs and Markov random field model representation for textures…”
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Optimal hot spot allocation on meshes for large-scale data-parallel algorithms by Lee, Soo-Young, Chen, Chung-Ming

“…Hot spots are notorious for degrading the performance of a parallel algorithm. We attempt to minimize the hot-spot access time for a class of problems, namely,…”
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KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks by Pauloski, J. Gregory, Venkataraman, Shivaram, Huang, Qi, Chard, Kyle, Zhang, Zhao, Huang, Lei, Foster, Ian

“…Kronecker-factored Approximate Curvature (K-FAC) has recently been shown to converge faster in deep neural network (DNN) training than stochastic gradient…”
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Interactive machinability analysis of free-form surfaces using multiple-view image space techniques on the GPU by Lysenko, Mikola, D’Souza, Roshan M.

“…In this paper we present a set of graphics hardware accelerated algorithms to interactively evaluate the machinability of complex free-form surfaces. These…”
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The Spy Element Method – A universal approach to complex computing on manycore processors by Mazzeo, Marco D.

“…► This work presents new ideas for successfully porting complex applications to manycore processors and accelerate them. ► Core contributions comprise novel…”
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Synthesis of Data-Parallel Algorithms for Programmable Logic Devices by Damaj, Issam

“…Most of the classifiers suffer from curse of dimensionality during classification of high dimensional image data. In this paper, we introduce a new supervised…”
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Pipelined data-parallel algorithms. Part 2; Design by King, C.T., Chou, W.H., Ni, L.M.

“…Previously the authors introduced the basic concept of pipelined data parallel algorithms and discussed the modeling of such algorithms on distributed-memory multicomputers…”
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Pipelined data parallel algorithms-II: design by King, C.-T., Chou, W.-H., Ni, L.M.

“…For pt.I see ibid., p.470-85. A methodology for designing pipelined data-parallel algorithms on multicomputers is studied…”
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Parallel peak pruning for scalable SMP contour tree computation by Carr, Hamish A., Weber, Gunther H., Sewell, Christopher M., Ahrens, James P.

“…As data sets grow to exascale, automated data analysis and visualisation are increasingly important, to intermediate human understanding and to reduce demands…”
Get full text