We present a fault tolerant task pool execution environment that is capable of performing fine-grain selective restart using a lightweight, distributed task completion tracking mechanism. Compared with conventional ch...
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Location aware computing is popularized and use of location information has become important due to huge application of mobile computing devices and local area wireless networks. To serve us well, mobile computing app...
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ISBN:
(纸本)9781424437092
Location aware computing is popularized and use of location information has become important due to huge application of mobile computing devices and local area wireless networks. To serve us well, mobile computing applications need to know the physical location of things so that they can record them and report them to us. Therefore in the future ubiquitous services, location estimation will be a key technology. This paper present distributed growing radial basis function neural networks (DGRBFNN) for location estimation of mobile device in wireless networks. DGRBFNN partitions the location space into clusters on the basis of availability of signals from various access points, and employ separate neural network architecture for each cluster to estimate the location of mobile device in indoor wireless networks. It provides better location estimation results than other approaches and systematically caters for unavailable signals at estimation time.
Cauchy-Reed/Solomon is an XOR-based erasure-tolerant coding scheme which is widely used for reliable distributed storage and fault-tolerant memory. A variety of different codes can be specified, depending on the numbe...
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We present a heterogeneous parallelcomputing system that combines a traditional computer cluster with a broadband network of embedded set-top box (STB) devices. As multiple service operators (MSO) manage millions of ...
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ISBN:
(纸本)9781450300445
We present a heterogeneous parallelcomputing system that combines a traditional computer cluster with a broadband network of embedded set-top box (STB) devices. As multiple service operators (MSO) manage millions of these devices across wide geographic areas, the computational power of such a massively-distributed embedded system could be harnessed to realize a centrally-managed, energy-efficient parallel processing platform that supports a variety of application domains which are of interest to MSOs, consumers, and the high-performance computing research community. We investigate the feasibility of this idea by building a prototype system that includes a complete head-end cable system with a DOCSIS-2.0 network combined with an interoperable implementation of a subset of Open MPI running on the STB embedded operating system. We evaluate the performance and scalability of our system compared to a traditional cluster by solving approximately various instances of the Multiple Sequence Alignment bioinformatics problem, while the STBs continue simultaneously to operate their primary functions: decode MPEG streams for television display and run an interactive user interface. Based on our experimental results and given the technology trends in embedded computing we argue that our approach to leverage a broadband network of embedded devices in a heterogeneous distributed system offers the benefits of both parallelcomputing clusters and distributed Internet computing.
In this paper, we study and analyze the distributed levels of MLFMA and propose an efficient scheme. This scheme uses the top-down method to construct the distributed levels from the coarsest distributed level which i...
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In this paper, we investigate distributed relay selection in OFDM-based cooperative wireless networks. A selective Decode-and-Forward relaying strategy is adopted, in which one relay is selected to forward the entire ...
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ISBN:
(纸本)9781424437092
In this paper, we investigate distributed relay selection in OFDM-based cooperative wireless networks. A selective Decode-and-Forward relaying strategy is adopted, in which one relay is selected to forward the entire OFDM symbol. Theoretical outage performance is analyzed and evaluated first. Then six relay selection schemes based on different selection criteria are given. The outage performance of one of the schemes coincides with the theoretical value and all the schemes need only local CSI and can thus be implemented in a distributed way. Monte Carlo simulations validate our analysis and show that significant performance gain can be obtained compared to that of direct transmission.
Algorithmic skeletons encapsulate typical parallel programming patterns such that they can be easily applied by users. Existing skeleton libraries usually work on distributed memory machines. We present an extension o...
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The past several years have witnessed a significant interest in developing parallel CAD algorithms and implementations that exploit various multi-core and distributedcomputing hardware. In addition to fundamental par...
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ISBN:
(纸本)9781424481927
The past several years have witnessed a significant interest in developing parallel CAD algorithms and implementations that exploit various multi-core and distributedcomputing hardware. In addition to fundamental parallel algorithm design, the ability in modeling parallel performance and facilitating runtime optimization is indispensable for achieving good efficiency for complex parallel CAD applications. Under the context of a recently developed hierarchical multi-algorithm parallel circuit simulation (HMAPS) framework, we demonstrate a runtime optimization approach that allows for automatic on-the-fly reconfiguration of the parallel simulation code. We show how the runtime information, collected as parallel simulation proceeds, can be combined with static parallel performance models to enable dynamic adaptation of parallel simulation execution for improved performance and robustness. Our results have shown that the proposed approach not only finds the near-optimal code configuration over a large configuration space, it also outperforms multi-algorithm circuit simulation assisted only with static pre-runtime parallel performance modeling.
According to the features of Message Passing Interface (MPI) and OpenMP, the cloud computing application methods based on MPI and OpenMP, including the MPI and OpenMP cloud computing algorithm design model, cloud comp...
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Sequence alignment is one of the most fundamental and important operation in Bioinformatics. Among lots of Sequence alignment tools, Blast is one of the most popular algorithms. In this paper, we describe the primary ...
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