派博傳思國際中心

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

作者: Sentry    時間: 2025-3-21 18:17
書目名稱Algorithms and Architectures for Parallel Processing影響因子(影響力)




書目名稱Algorithms and Architectures for Parallel Processing影響因子(影響力)學科排名




書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡公開度




書目名稱Algorithms and Architectures for Parallel Processing網(wǎng)絡公開度學科排名




書目名稱Algorithms and Architectures for Parallel Processing被引頻次




書目名稱Algorithms and Architectures for Parallel Processing被引頻次學科排名




書目名稱Algorithms and Architectures for Parallel Processing年度引用




書目名稱Algorithms and Architectures for Parallel Processing年度引用學科排名




書目名稱Algorithms and Architectures for Parallel Processing讀者反饋




書目名稱Algorithms and Architectures for Parallel Processing讀者反饋學科排名





作者: 戲法    時間: 2025-3-21 22:49
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
作者: 符合國情    時間: 2025-3-22 01:28
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
作者: 提升    時間: 2025-3-22 05:58
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
作者: 盡忠    時間: 2025-3-22 12:28

作者: 放縱    時間: 2025-3-22 14:18

作者: magnate    時間: 2025-3-22 17:58

作者: 太空    時間: 2025-3-23 00:11
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
作者: 單挑    時間: 2025-3-23 05:06
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
作者: abysmal    時間: 2025-3-23 06:55

作者: 有抱負者    時間: 2025-3-23 10:14

作者: neutrophils    時間: 2025-3-23 15:39
Safeguarding Against Active Routing Attack via Online Learningseek a secure route against prefix interception attacks is an important problem. For this reason, we propose a novel and effective router selection method on the Internet. First, we evaluate resilience of autonomous systems against prefix interception attacks. Second, we evaluate security risk of ne
作者: Enzyme    時間: 2025-3-23 21:39
Reliability Aware Cost Optimization for Memory Constrained Cloud Workflows large number of virtual machines (VMs), which makes the cost a great concern. Under the constraints of VM processing and storage capabilities and communication bandwidths between VMs, how to quickly figure out a cost-optimal resource provisioning and scheduling solution for a given cloud workflow i
作者: 發(fā)出眩目光芒    時間: 2025-3-24 01:16

作者: ungainly    時間: 2025-3-24 05:43
An Asynchronous Algorithm to Reduce the Number of Data Exchangesatency. For high-frequency parallel iterative applications, performance bottleneck is the long network latency caused by frequent data exchange. This paper presents an asynchronous algorithm capable of reducing the number of data exchanges among processes of parallel iterative applications. The prop
作者: 有助于    時間: 2025-3-24 08:03

作者: visual-cortex    時間: 2025-3-24 14:19

作者: 臭名昭著    時間: 2025-3-24 18:47
Algorithms and Architectures for Parallel Processing978-3-030-38961-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: PSA-velocity    時間: 2025-3-24 20:59

作者: 煤渣    時間: 2025-3-24 23:38

作者: 集聚成團    時間: 2025-3-25 04:47

作者: Hemoptysis    時間: 2025-3-25 09:21
Internationale v?lkerrechtliche Vereinedvanced 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
作者: anatomical    時間: 2025-3-25 12:54
https://doi.org/10.1007/978-94-015-3230-3escent 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
作者: 愛國者    時間: 2025-3-25 16:05

作者: Enliven    時間: 2025-3-25 21:32

作者: PET-scan    時間: 2025-3-26 00:41
https://doi.org/10.1007/978-94-015-0594-9n of network devices and the real-time requirements make it difficult to provide accurate network measurement feedbacks. To reduce the error and inefficiencies caused by random operations in existing algorithms, we propose an efficient measurement architecture with the .. DAP provides accurate large
作者: 使更活躍    時間: 2025-3-26 04:53
https://doi.org/10.1007/978-94-015-0594-9ing. 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
作者: 浪費時間    時間: 2025-3-26 10:55
Die Entstehung der Internationalen Projektea . 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
作者: 迫擊炮    時間: 2025-3-26 13:08
Mathematik, Logik, Psychologie, changes in network topology, this paper proposed a stable clustering algorithm to establish routing for VANET. In this algorithm, clustering was first formed according to the Similar Neighbor Node Table. Then on the basis of the Highest Connectivity Algorithm, parameters such as position and speed
作者: Recessive    時間: 2025-3-26 19:49

作者: NATAL    時間: 2025-3-26 21:17
https://doi.org/10.1007/978-3-642-91644-1seek a secure route against prefix interception attacks is an important problem. For this reason, we propose a novel and effective router selection method on the Internet. First, we evaluate resilience of autonomous systems against prefix interception attacks. Second, we evaluate security risk of ne
作者: 善辯    時間: 2025-3-27 02:12
Das Wesen der empirischen Psychologie, large number of virtual machines (VMs), which makes the cost a great concern. Under the constraints of VM processing and storage capabilities and communication bandwidths between VMs, how to quickly figure out a cost-optimal resource provisioning and scheduling solution for a given cloud workflow i
作者: 老巫婆    時間: 2025-3-27 05:16

作者: 粘    時間: 2025-3-27 11:35
https://doi.org/10.1007/978-3-663-06956-0atency. For high-frequency parallel iterative applications, performance bottleneck is the long network latency caused by frequent data exchange. This paper presents an asynchronous algorithm capable of reducing the number of data exchanges among processes of parallel iterative applications. The prop
作者: 浪費物質    時間: 2025-3-27 17:08

作者: 灰姑娘    時間: 2025-3-27 19:27
https://doi.org/10.1007/978-94-015-0594-9ve the accuracy of software fault prediction. The architectures of VAE and GAN are designed to fit for the high dimensional software fault data. New software fault samples are generated to balance the software fault datasets in order to get better performance for software fault prediction. The model
作者: 時代錯誤    時間: 2025-3-28 00:23
,Von den Gegenst?nden überhaupt,uate the utility of the data collected by the winner. Finally the experimental results show that the successful package delivery rate, average delay and energy consumption are used as evaluation parameters, which improves the quality of task completion and suppresses the selfish behavior of selfish
作者: perpetual    時間: 2025-3-28 04:01
Das Wesen der empirischen Psychologie,urations and generate a cost-optimal schedule by allocating tasks to appropriate VMs. Comprehensive experimental results on well-known scientific workflow benchmarks show that compared with state-of-the-art methods, our approach can achieve up?to 66% cost reduction while satisfying both reliability
作者: 凝視    時間: 2025-3-28 08:04

作者: LARK    時間: 2025-3-28 14:18

作者: 生氣的邊緣    時間: 2025-3-28 15:55

作者: otic-capsule    時間: 2025-3-28 21:53

作者: flaunt    時間: 2025-3-29 02:52

作者: left-ventricle    時間: 2025-3-29 04:31
Null Model and Community Structure in Heterogeneous Networks in the real-world twitter event networks. The experimental results show that our method perform better than other exciting algorithms and demonstrate that the modularity function of the heterogeneous networks is an effective parameter that can be used to quantify the quality of the community struct
作者: 極微小    時間: 2025-3-29 09:18
Algorithms and Architectures for Parallel Processing19th International C
作者: 得意牛    時間: 2025-3-29 11:23
0302-9743 istributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation..978-3-030-38960-4978-3-030-38961-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: Flavouring    時間: 2025-3-29 17:35
Das Projekt von C. F. von Schmidt-Phiseldekexternal this method with other graph-processing systems, including GraphChi, X-Stream, and FlashGraph, revealing that Pimiento achieved . better performance on large real-world graphs and synthetic graphs in the same experimental environment.
作者: Palter    時間: 2025-3-29 23:25

作者: 不自然    時間: 2025-3-30 02:37
Mathematik, Logik, Psychologie,ntained for six special scenarios. Compared with the traditional clustering algorithm in VANET, it had the characteristics of lower end-to-end delay, higher packet delivery rate and lower change rate of preferred cluster head nodes, which greatly improved the communication quality of VANET.
作者: addition    時間: 2025-3-30 05:08
Pimiento: A Vertex-Centric Graph-Processing Framework on a Single Machineexternal this method with other graph-processing systems, including GraphChi, X-Stream, and FlashGraph, revealing that Pimiento achieved . better performance on large real-world graphs and synthetic graphs in the same experimental environment.
作者: ANA    時間: 2025-3-30 10:13
A Framework for Designing Autonomous Parallel Data Warehousesry clustering model to deploying a . over a parallel platform. The query clustering triggers partitioning and allocation processes by considering only evolved query groups. Intensive experiments were conducted to show the efficiency of our proposal.
作者: meritorious    時間: 2025-3-30 13:14

作者: 共同確定為確    時間: 2025-3-30 19:50

作者: 新鮮    時間: 2025-3-30 21:43
An Asynchronous Algorithm to Reduce the Number of Data Exchangesosed algorithm has been tested on a stencil-based parallel computation and compared with a BSP implementation of the same application. The asynchronous algorithm can effectively reduce the number of data exchanges at the expense of higher computation overhead and larger message size, performance can be improved up?to 2.8x.
作者: calorie    時間: 2025-3-31 03:18
Conference proceedings 2020 Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel Algorithms, Applications of Distributed and Parallel Computing, Service Dependability and Security, IoT and CPS Computing, Performance Modelling and Evaluation..




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