this paper addresses a resource selection problem for applicationsthat update data in enterprise grid systems. the problem is insufficiently addressed as most of the existing resource selection approaches in grid env...
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this paper presents a novel approach, Fuzz-SSVS, to improve the secondary structure prediction of proteins. In this work, a Sugeno based Fuzzy System is trained to act as a voting system to combine results of several ...
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Fractal image coding is one of the most prominent compression technologies. It can be also used for industrial applications like image indexing methods and image retrieval methods. On the other hand, GPGPU (General Pu...
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ISBN:
(纸本)9781457704345
Fractal image coding is one of the most prominent compression technologies. It can be also used for industrial applications like image indexing methods and image retrieval methods. On the other hand, GPGPU (General Purpose computing on Graphic Processing Unit) attracts a great deal of attention, which is used for general-purpose computations like numerical calculations as well as graphic processing. In this paper, we evaluate two parallel programs for adaptive fractal image coding algorithms on GPUs by using CUDA (Compute Unified Device Architecture) and and discuss the effectiveness of parallel programs using index vectors. the adaptive approach can achieve the image compression with given quality level by changing the size of range blocks in any location.
A new secret-sharing-based e-auction scheme is proposed. distributed bid opening is employed to protect bid privacy. It can achieve all the desired properties for sealed-bid auctions at a reasonable cost. Moreover, at...
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distributed file-systems are a popular storage abstraction for cloud-computingapplications. they provide generic data access for different applications in order to pass information between computing nodes and to save...
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the oil and gas industries have been great consumers of parallel and distributedcomputing systems, by frequently running technical applications with intensive processing of terabytes of data. By the emergence of clou...
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the two most recent PVSS (publicly verifiable secret sharing) schemes are illustrated to be vulnerable to a simple attack. Moreover, one of them has to deteriorate its efficiency greatly to meet practical security req...
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the study of protein-protein interactions (PPI) is an active area of research in biology as it mediates most of the biological functions in any organism. Although, there are no concrete properties in predicting PPI, e...
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In the context of parallel and distributed computation, the currently existing numerical libraries do not allow code reuse. Besides, they are not able to exploit the multi-level parallelism offered by many numerical m...
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ISBN:
(纸本)9783642193279
In the context of parallel and distributed computation, the currently existing numerical libraries do not allow code reuse. Besides, they are not able to exploit the multi-level parallelism offered by many numerical methods. A few linear algebra numerical libraries make use of object oriented approach allowing modularity and extensibility. Nevertheless, those which offer modularity together with sequential and parallel code reuse are almost non-existent. We analyze the lacks in existing libraries and propose a design model based on a component approach and the strict separation between computation operations, data definition and communication control of applications. We present then an implementation of this design using VIAL scientific workflow environment jointly withthe object oriented LAKe (Linear Algebra Kernel) library. Some numerical experiments on GRID5000 platform validate our approach and show its efficiency.
In recent years, cloud computing sweeps the world and becomes the new direction for future network applications. the traditional operating systems lack constructivity and evolvability, support less for the application...
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