Results 11 to 20 of about 2,988,978 (309)
Many-objective evolutionary algorithm based on three-way decision
In recent years, many-objective optimization problems have been widely used. however, with the increase of the number of objectives, the difficulty of solving increases exponentially, and the imbalance between convergence and diversity becomes more ...
Zhihua Cui +3 more
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State-of-the-Art in Parallel Computing with R [PDF]
R is a mature open-source programming language for statistical computing and graphics. Many areas of statistical research are experiencing rapid growth in the size of data sets. Methodological advances drive increased use of simulations.
Hao Yu +11 more
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Incomparability in parallel computation
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Vince Grolmusz, Prabhakar Ragde
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Reconfigurable computers usually provide a limited number of different memory resources, such as host memory, external memory, and on-chip memory with different capacities and communication characteristics.
Tobias Schumacher +3 more
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Optimal Inter-Gate Separation and Overlapped Source of Multi-Channel Line Tunnel FETs
This work comprises of design and simulation of multi-channel line tunnel field-effect transistors (mCLTFETs) by scaling inter-gate separation (IGS) and overlapped source (LOV).
Narasimhulu Thoti +3 more
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In edge computing (EC), when the edge server (ES) is processing tasks delivered by the mobile devices (MDs), the MDs move outside the coverage of the ES, where task migration is required to ensure service continuity.
Zhenyu Shi +4 more
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Mobility-assisted big data collecting in wireless sensor networks
In recent years, the big data emerged as a hot topic because of the rapid growth of the information and wireless communication technology. One of the significant sources of the big data is wireless sensor networks.
Jinghua Zhu +3 more
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Interval multi-objective optimization problems (IMOPs) are one of the most critical optimization problems in practical applications. However, compared to deterministic multi-objective optimization problems (MOPs), there are few researchs addressing IMOP.
Yaqing Jin +3 more
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Randomized parallel computation [PDF]
The subject of this thesis is randomized parallel algorithms. The goal is to demonstrate the power of randomization in designing efficient parallel algorithms for various computational problems. The specific problems we are concerned with are: sorting, routing, and combinatorial optimization.
Sanguthevar Rajasekaran, John H. Reif
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Load balancing of irregular parallel applications on heterogeneous computing environments [PDF]
Large-scale heterogeneous distributed computing environments (such as Computational Grids and Clouds) offer the promise of access to a vast amount of computing resources at a relatively low cost.
Janjic, Vladimir
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