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Titlebook: Algorithms and Architectures for Parallel Processing; 13th International C Joanna Kołodziej,Beniamino Martino,Kaiqi Xiong Conference procee

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楼主: DUCT
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Applicability of the (m,k)-firm Approach for the QoS Enhancement in Distributed RTDBMStter manage the large amount of real-time data. In order to take into account unpredictable workload, Quality of Service (QoS) based approaches are the most appropriate. In the particular case of distributed applications, it is necessary to consider the problems of load balancing for user transactio
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A Parallel Distributed System for Gene Expression Profiling Based on Clustering Ensemble and Distribich can lead to identify subgroup of specific disease or extract hidden relationships between genes. One computational method often used to this end is clustering. In this paper, we propose a parallel distributed system for gene expression profiling (PDS-GEF) which provides a useful basis for indivi
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HMHS: Hybrid Multistage Heuristic Scheduling Algorithm for Heterogeneous MapReduce Systemtant. For a given set of jobs, a well-designed scheduling algorithm can significantly reduce makespan and increase the utilization of clusters. However, there exists very few studies that aim to construct a scheduler that minimizes the makespan of batch jobs in a heterogeneous environment. This pape
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Candidate Set Parallelization Strategies for Ant Colony Optimization on the GPUspace and reduce the overall execution time when using heuristic search methods such as Ant Colony Optimisation (ACO). Recent contributions have implemented ACO in parallel on the Graphics Processing Unit (GPU) using NVIDIA CUDA but struggle to maintain speedups against sequential implementations us
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Der Ingenieur als GmbH-Geschäftsführere and then running a suitable clustering algorithm on a dissimilarity matrix updated using the outputs of the local clustering. Through an application on real and simulated data, we will show that this method provides results comparable to algorithms for stored data.
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,Verbot der Rückzahlung von Stammkapital,ated in terms of energy balance and network lifetime. Simulation results demonstrate that proposed deployment strategy significantly outperforms conventional Gaussian distribution based node deployment scheme in terms of the two performance metrics.
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