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检索条件"主题词=PARALLEL algorithms"
9174 条 记 录,以下是281-290 订阅
排序:
Saliency detection for large-scale mesh decimation
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COMPUTERS & GRAPHICS-UK 2023年 111卷 63-76页
作者: dos Anjos, Rafael Kuffner Roberts, Richard Andrew Allen, Benjamin Jorge, Joaquim Anjyo, Ken Univ Leeds Leeds England Victoria Univ Wellington CMIC Wellington New Zealand IMAG Grp Tokyo Japan INESC ID Lisbon Portugal
Highly complex and dense models of 3D objects have recently become indispensable in digital industries. Mesh decimation then plays a crucial role in the production pipeline to efficiently get visually convincing yet c... 详细信息
来源: 评论
A Novel Compute-Efficient Tridiagonal Solver for Many-Core Architectures
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IEEE TRANSACTIONS ON parallel AND DISTRIBUTED SYSTEMS 2023年 第1期34卷 195-206页
作者: Liu, Kan Xue, Wei Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China
The tridiagonal solver is an important kernel and is widely supported in mainstream numerical libraries. While parallel algorithms have been studied for many-core architectures, the performance of current algorithms a... 详细信息
来源: 评论
Efficient deterministic MapReduce algorithms for parallelizable problems
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JOURNAL OF parallel AND DISTRIBUTED COMPUTING 2023年 177卷 28-38页
作者: Frei, Fabian Wada, Koichi Swiss Fed Inst Technol Dept Comp Sci Zurich Switzerland Hosei Univ Dept Appl Informat Chiyoda City Tokyo Japan
The MapReduce framework has firmly established itself as one of the most widely used parallel computing platforms for processing big data on tera-and peta-byte scale. Approaching it from a theoretical standpoint has p... 详细信息
来源: 评论
A parallel Algorithm for Updating a Multi-objective Shortest Path in Large Dynamic Networks
A Parallel Algorithm for Updating a Multi-objective Shortest...
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2023 International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023
作者: Khanda, Arindam Shovan, S.M. Das, Sajal K. Missouri University of Science and Technology RollaMO United States
In dynamic networks, where continuous topological changes are prevalent, it becomes paramount to find and update different graph properties without the computational burden of recalculating from the ground up. However... 详细信息
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Efficient Adaptive Monte Carlo Uncertainty Forecasting for High Dimensional Nonlinear Dynamic Systems
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IEEE ACCESS 2023年 11卷 12119-12138页
作者: Vanfossen, Andrew W. Kumar, Mrinal Ohio State Univ Dept Mech & Aerosp Engn Columbus OH 43210 USA
The problem of uncertainty forecasting for complex dynamical systems in the framework of particle methods can be effectively addressed through the solution methodology known as adaptive Monte Carlo (AMC). Monte Carlo ... 详细信息
来源: 评论
ezLDA: Efficient and Scalable LDA on GPUs
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IEEE ACCESS 2023年 11卷 100165-100179页
作者: Wang, Shilong Liu, Hang Gaihre, Anil Yu, Hengyong Univ Massachusetts Lowell Dept Elect & Comp Engn Lowell MA 01854 USA Stevens Inst Technol Dept Elect & Comp Engn Hoboken NJ 07030 USA
Latent Dirichlet Allocation (LDA) is a statistical approach for topic modeling with a wide range of applications. Attracted by the exceptional computing and memory throughput capabilities, this work introduces ezLDA w... 详细信息
来源: 评论
Exploring Scalable parallelization for Edit Distance-Based Motif Search
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IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2023年 第2期20卷 1587-1593页
作者: Qiu, Junqiao Ebnenasir, Ali City Univ Hong Kong Dept Comp Sci Kowloon Tong Hong Kong Peoples R China Michigan Technol Univ Dept Comp Sci Houghton MI 49931 USA
Motif Searching is an important problem that can reveal crucial information from biological data. Since the general motif searching is NP-hard and the volume of biological data is growing exponentially in recent years... 详细信息
来源: 评论
A GPU-based real-time processing system for frequency division multiple-input-multiple-output radar
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IET RADAR SONAR AND NAVIGATION 2023年 第10期17卷 1524-1537页
作者: Liu, Gaogao Bao, Yuqian Yue, Ning Wang, Sitian Wu, Hui Liu, Qiang Yang, Wenbo Xidian Univ Sch Elect & Engn Xian Peoples R China
Multiple-Input-Multiple-Output (MIMO) radar has the characteristic of multiple antenna channels, bringing on a big data volume for signal processing. Therefore, the trade-off between detection ability and computationa... 详细信息
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Scalable computational kernels for mortar finite element methods
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ENGINEERING WITH COMPUTERS 2023年 第5期39卷 3691-3720页
作者: Mayr, Matthias Popp, Alexander Univ Bundeswehr Munchen Inst Math & Comp Based Simulat Werner-Heisenberg-Weg 39 D-85577 Neubiberg Germany Univ Bundeswehr Munchen Data Sci & Comp Lab Werner-Heisenberg-Weg 39 D-85577 Neubiberg Germany
Targeting simulations on parallel hardware architectures, this paper presents computational kernels for efficient computations in mortar finite element methods. Mortar methods enable a variationally consistent imposit... 详细信息
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Evaluating the Effects of Modern Storage Devices on the Efficiency of parallel Machine Learning algorithms
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INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS 2020年 第3-4期29卷
作者: Akritidis, Leonidas Fevgas, Athanasios Tsompanopoulou, Panagiota Bozanis, Panayiotis Univ Thessaly Data Structuring & Engn Lab Dept Elect & Comp Engn 37 Glavani & 28th October Str Volos 38221 Greece
Big Data analytics is presently one of the most emerging areas of research for both organizations and enterprises. The requirement for deployment of efficient machine learning algorithms over huge amounts of data led ... 详细信息
来源: 评论