Suchergebnisse - (("data parallel algorithms") OR ("mass parallel algorithms"))*

Notation for mass parallel algorithms: computing Petri net state space on GPU case study von Zaitsev, D. A., Zhang, Z., Liu, D., Shmeleva, T. R.

“… We introduce a novel notation for mass parallel algorithms, in particular, algorithms for GPU, which is based on graphical specification of the cube of threads combined with textual expressions …”
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Scalable Contour Tree Computation by Data Parallel Peak Pruning von 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 von 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 von 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 von 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 von 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 von 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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Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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