Výsledky vyhledávání - "Data Parallel Algorithms"

Scalable Contour Tree Computation by Data Parallel Peak Pruning Autor 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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Scalable Contour Tree Computation by Data Parallel Peak Pruning Autor 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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Efficient and Scalable Functional Dependency Discovery on Distributed Data-Parallel Platforms Autor 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 Autor 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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Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms Autor 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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A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units Autor 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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KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks Autor 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 Autor 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 Autor 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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Parallel peak pruning for scalable SMP contour tree computation Autor 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…”
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Sparse matrix computations on manycore GPU's Autor Garland, Michael

“…Modern microprocessors are becoming increasingly parallel devices, and GPUs are at the leading edge of this trend. Designing parallel algorithms for manycore…”
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Data-parallel polygonization Autor Hoel, Erik G., Samet, Hanan

“…Data-parallel algorithms are presented for polygonizing a collection of line segments represented by a data-parallel bucket PMR quadtree, a data-parallel…”
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Algorithmic strategies for optimizing the parallel reduction primitive in CUDA Autor Martin, P. J., Ayuso, L. F., Torres, R., Gavilanes, A.

“…Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a set of well-known dataparallel primitives. Those primitives are…”
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Data-parallel sparse LU factorization Autor CONROY, J. M, KRATZER, S. G, LUCAS, R. F, NAIMAN, A. E

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A data-parallel algorithm for minimum-width tree layout Autor Yang, Wuu

“…The tree-layout problem is to compute the coordinates of nodes of a tree so that the tree, when drawn on a piece of paper, appeals to human understanding. The…”
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Using multiple graphics accelerators to solve the two-dimensional inverse heat conduction problem Autor Szénási, Sándor, Felde, Imre

“…In this paper, we present a novel parallel algorithm implemented on graphics accelerators to solve the two-dimensional inverse heat conduction problem…”
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Segmentation of colon tissue sample images using multiple graphics accelerators Autor Szenasi, Sandor

“…Nowadays, processing medical images is increasingly done through using digital imagery and custom software solutions. The distributed algorithm presented in…”
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Solving the inverse heat conduction problem using NVLink capable Power architecture Autor Szénási, Sándor

“…The accurate knowledge of Heat Transfer Coefficients is essential for the design of precise heat transfer operations. The determination of these values…”
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GPU Acceleration of Longest Common Substrings Algorithm Autor Pinter, Adam, Szenasi, Sandor

“…The Longest Common Substring of two strings is a character sequence that appears in both texts and is the longest of these. The method is widely used in…”
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Hierarchical cubic networks Autor Ghose, K., Desai, K.R.

“…We introduce a new interconnection network for large-scale distributed memory multiprocessors called the hierarchical cubic network (HCN). We establish that…”
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