A theoretical solution is given for the electric field and charge density of a capacitor with a charge injecting electrode being charged by a Marx capacitor bank.
A theoretical solution is given for the electric field and charge density of a capacitor with a charge injecting electrode being charged by a Marx capacitor bank.
With the development of acoustic localization schemes using mobile devices, keystroke detection has received tremendous attention from the academia and industry. Currently, most of the existing systems focus on the re...
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Deep learning has become an important computational paradigm in our daily lives with a wide range of applications,from authentication using facial recognition to autonomous driving in smart vehicles. The quality of th...
Deep learning has become an important computational paradigm in our daily lives with a wide range of applications,from authentication using facial recognition to autonomous driving in smart vehicles. The quality of the deep learning models, i.e., neural architectures with parameters trained over a dataset, is crucial to our daily living and economy.
Loop tiling is an effective way to improve the cache hit ratio. However, while eliminating self-interference misses, tiling may produce small tiling factors for the cases of some arrays. In order to obtain stable and ...
In this paper, we propose a resource broker, which providing a friendly interface for accessing available and appropriate resources via user credentials, is developed on a platform constructed by employing the Globus ...
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Data Grid is one of key factors to build up large-scale dataset storage system and providing highperformance computing capacity, by connecting distributed resources in the Grid. One major challenge in data grids is h...
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ISBN:
(纸本)9780769526744
Data Grid is one of key factors to build up large-scale dataset storage system and providing highperformance computing capacity, by connecting distributed resources in the Grid. One major challenge in data grids is how to provide good and timely access to huge amount of data in distributed locations, given the high latency of interconnection networks. Parallel downloading methods can improve download efficiency and performance, but the download process should have started from appropriate locations for such achievement. In this paper, we present the design of Location Selection System (LSS) for data grid environments, aiming at the problem of downloading locations. The proposed Location Selection System (LSS) not only provides users for setting their own priority strategies, but also provides two downloading modes, manual and automatic. The proposed techniques included as middleware over data grid platforms optimize Me downloads, by improving its efficiency and performance.
Over the past decade, speed in the transmission of knowledge is no longer the way it used to be. Due to this influence, conventional educational methodology has also followed this trend and has gone through a momentou...
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The co-allocation architecture was developed in order to enable parallel downloading of datasets from multiple servers. Several co-allocation strategies have been coupled and used to exploit rate differences among var...
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ISBN:
(纸本)1595931082
The co-allocation architecture was developed in order to enable parallel downloading of datasets from multiple servers. Several co-allocation strategies have been coupled and used to exploit rate differences among various client-server links and to address dynamic rate fluctuations by dividing files into multiple blocks of equal sizes. However, a major obstacle, the idle time of faster servers having to wait for the slowest server to deliver the final block, makes it important to reduce differences in finishing time among replica servers. In this paper, we propose a dynamic coallocation scheme, namely Recursive-Adjustment Co-Allocation scheme, to improve the performance of data transfer in Data Grids. Our approach reduces the idle time spent waiting for the slowest server and decreases data transfer completion time. We also provide an effective scheme for reducing the cost of reassembling data blocks. Copyright 2006 ACM.
Large scale cluster based on cloud technologies has been widely used in many areas, including the data center and cloud computing environment. The purpose of presenting the research paper in this field was to solve th...
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Heterogeneous computing is now becoming a hot research in the area of highperformance computing. However, due to lack of corresponding debugging environment, programming and development for heterogeneous parallel sof...
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