Results 21 to 30 of about 3,741,686 (304)
Data Balance Algorithm Based on Histogram in MapReduce [PDF]
MapReduce model is a typical distributed computing model, which is widely used in large-scale data processing, and its performance depends largely on the data distribution status.
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In order to achieve the requirement of high throughput and low-power in wireless communication, a parallel Turbo decoder has attracted extensive attention.By analyzing the calculating of the state metrics, a low-resource parallel Turbo decoder ...
Qian ZHANG +5 more
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Recursive-Parallel Algorithm for Solving the Maximum Common Subgraph Problem
The paper proposes an algorithm for solving the problem of finding the maximum common subgraph. Both the sequential and the parallel version of the algorithm, their software implementation are described, and an experimental study of their effectiveness ...
Vladimir V. Vasilchikov
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Apex Method: A New Scalable Iterative Method for Linear Programming
The article presents a new scalable iterative method for linear programming called the “apex method”. The key feature of this method is constructing a path close to optimal on the surface of the feasible region from a certain starting point to the exact ...
Leonid B. Sokolinsky +1 more
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A 2 + 1 dimensional PDE traveling wave model describing spatial-lateral dynamics of edge-emitting broad area semiconductor devices is considered. A numerical scheme based on a split-step Fourier method is presented.
Mindaugas Radziunas, Raimondas Čiegis
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Blocks for two-machines total weighted tardiness flow shop scheduling problem [PDF]
The paper discusses a two-machine flow shop problem with minimization of the sum of tardiness costs, being a generalization of the popular NP-hard single-machine problem with this criterion. We propose the introduction of new elimination block properties
W. Bożejko, M. Uchroński, M. Wodecki
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A fine-grained parallel algorithm for the cyclic flexible job shop problem
In this paper there is considered a flexible job shop problem of operations scheduling. The new, very fast method of determination of cycle time is presented.
Bożejko Wojciech +2 more
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Efficient simulation of neural development using shared memory parallelization
The Neural Development Simulator, NeuroDevSim, is a Python module that simulates the most important aspects of brain development: morphological growth, migration, and pruning. It uses an agent-based modeling approach inherited from the NeuroMaC software.
Erik De Schutter, Erik De Schutter
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Parallel Algorithm Configuration [PDF]
State-of-the-art algorithms for solving hard computational problems often expose many parameters whose settings critically affect empirical performance. Manually exploring the resulting combinatorial space of parameter settings is often tedious and unsatisfactory.
Frank Hutter +2 more
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CQS-Attention: Scaling Up the Standard Attention Computation for Infinitely Long Sequences
Transformer models suffer from unaffordable high memory consumption when the sequence is long and standard self-attention is utilized. We developed a sequence parallelism scheme called CQS-Attention that can break the limit of sequence length.
Yiming Bian, Arun K. Somani
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