Titlebook: Algorithms and Architectures for Parallel Processing; 19th International C Sheng Wen,Albert Zomaya,Laurence T. Yang Conference proceedings

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书目名称Algorithms and Architectures for Parallel Processing影响因子(影响力)




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书目名称Algorithms and Architectures for Parallel Processing网络公开度学科排名




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书目名称Algorithms and Architectures for Parallel Processing读者反馈学科排名

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Improving the Parallelism of CESM on GPUually lasts for weeks even on high-performance clusters. In this paper, we propose several optimization strategies to improve the parallelism of three hotspots in CESM on GPU. Specifically, we analyze the performance bottleneck of CESM and propose corresponding GPU accelerations. The experiment resu

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Parallel Approach to Sliding Window Sumsdvanced vector extension (AVX) instructions available on modern processors, or the parallel compute units on GPUs and FPGAs, would provide a significant performance boost..We develop a generic vectorized sliding sum algorithm with speedup for window size . and number of processors . is .(./.) for a

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Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUsescent or its variants. Distributed training increases training speed significantly but causes precision loss at the mean time. Increasing batchsize can improve training parallelism in distributed training. However, if the batchsize is too large, it will bring difficulty to training process and intr

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A Comparison Study of VAE and GAN for Software Fault Predictioning. In recent years, deep learning has been widely used in the fields of image, text and voice. However it is seldom applied in the field of software fault prediction. Considering the ability of deep learning, we select the deep learning techniques of VAE and GAN for software fault prediction and c

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A Framework for Designing Autonomous Parallel Data Warehousesa . on such platforms requires efficient data partitioning and allocation techniques. Most of these techniques assume a priori knowledge of workload. To deal with their evolution, . are mainly used. The BI 2.0 requirements have put .. Consequently, reactive-based solutions for deploying a . in paral

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