A considerable amount of deformities are prone to be neglected by the radiotherapists besides acquisition of excessive and false positive rates. In this article, a process has been developed representing the selective...
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ISBN:
(纸本)9781538637906
A considerable amount of deformities are prone to be neglected by the radiotherapists besides acquisition of excessive and false positive rates. In this article, a process has been developed representing the selective parameters with Fuzzy C-Means and ANFIS (Adaptive Neuro-fuzzy inference). As it is a grave concern to differentiate the hemorrhage and calcification on the basis of selective factors. The desirable outcome and useful information are most likely to be delivered by the fuzzy clustering segmentation methods. The abnormal tissues in the brain are accurately identified by our proposed method. ANFIS can be referred to as the extension of the ANN family and it displays excellent learning skills and estimating competences, so it is believed to be a highly productive tool through which ambiguities in any system can be efficiently managed. The medical discipline is realizing the benefits of this system, such as the identification of hemorrhage and calcification. Our method is beneficial to image fusion techniques whose applications rely on the source information of local images. Results show that our method is superior then the other traditional methods in terms of quantitative image segmentation performance parameters.
Data mining refers to the process of finding hidden patterns inside a large dataset. While improving the accuracy of those algorithms has been the main focus of past research, massive dataset size imposes another chal...
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ISBN:
(纸本)1932415602
Data mining refers to the process of finding hidden patterns inside a large dataset. While improving the accuracy of those algorithms has been the main focus of past research, massive dataset size imposes another challenge. parallel and distributedprocessingtechniques have been applied to data mining algorithms to make them scalable. In this paper, we discuss a new emerging data mining algorithm, random forests, and its parallelization based on VCluster, a portable parallel runtime system we have developed for a cluster of multiprocessors. Random forests is an ensemble of many decision trees and the classification is performed by majority voting by those decision trees. We also present the experimental results on the performance of parallel random forests approach.
This paper presents a distributed version of an optimizing scheduler for High-Level Synthesis (HLS). The algorithmic process is essentially an enumerative one, within which significant search space pruning can be done...
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ISBN:
(纸本)1601320841
This paper presents a distributed version of an optimizing scheduler for High-Level Synthesis (HLS). The algorithmic process is essentially an enumerative one, within which significant search space pruning can be done due to the nature of the underlying problem. Furthermore, the distributed version ofthe optimizer encounters some interesting distributed systems issues, some of which can be exploited to help solve the problem more efficiently. A set of results that demonstrate the efficacy of this approach are also given.
In this paper we aim to incorporate wireless and mobile network with IEEE standard 1516 high level architecture (HLA) to facilitate the ubiquitous distributed simulations. The proposed HLA distributed federation not o...
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ISBN:
(纸本)1932415262
In this paper we aim to incorporate wireless and mobile network with IEEE standard 1516 high level architecture (HLA) to facilitate the ubiquitous distributed simulations. The proposed HLA distributed federation not only provides seamless data communication but also supports high host interoperabilities for large-scale modeling and simulation functionalities. As the contemporary wireless LAN is concerned, it inherently suffers from the data communication suspension and intermittent message loss as long as a phenomenon known as handoff occurs. Accordingly, we devise a data compensation model (DCM) to cope with data loss problem. In particular the DCM would not aggravate any extra computing loads in federates and exhaust memory storage in the period of mobile clients short-term disconnection. As a consequence, the simulation results indicate that the proposed architecture of HLA federation supports the applicable mobility management, seamless data communication, and low system resource consumption.
Most performance tools run on Massively parallel (MP) systems do not scale up as the number of nodes increases. We studied the scalability issue of MP performance tools and proposed a solution: replacing the two-level...
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ISBN:
(纸本)1892512416
Most performance tools run on Massively parallel (MP) systems do not scale up as the number of nodes increases. We studied the scalability issue of MP performance tools and proposed a solution: replacing the two-level performance data collection structure by a hierarchal one. We constructed a simulation model to simulate the performance data collection behavior of performance tools in MP systems. Our simulation results showed that a hierarchical data collection structure increases the scalability in orders of magnitude. In this paper we present our simulator and the results of our simulations.
This special issue of the international Journal of High Performance Computing applications collects extended versions of the best three papers presented at the international Workshop on GPUs and Scientific Application...
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This special issue of the international Journal of High Performance Computing applications collects extended versions of the best three papers presented at the international Workshop on GPUs and Scientific applications (GPUScA 2010) held in Vienna in September 2010, in conjunction with PACT 2010 - the Annual internationalconference on parallel Architectures and Compilation techniques.
This paper presents the cache management of cluster parallel file system, proposals a cache coherence model and cache management policies, designs and implements a novel prefetching and write-behind technique. Experim...
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ISBN:
(纸本)1932415602
This paper presents the cache management of cluster parallel file system, proposals a cache coherence model and cache management policies, designs and implements a novel prefetching and write-behind technique. Experiments results show that forecasting is veracious and steady;performance improvement of write-behind technique is visible.
We expand the scope of peer-to-peer (P2P) systems to include the concept of "communities". Communities are analogous to interest groups and can overlap. We use communities as a more natural arrangement Of di...
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ISBN:
(纸本)1892512459
We expand the scope of peer-to-peer (P2P) systems to include the concept of "communities". Communities are analogous to interest groups and can overlap. We use communities as a more natural arrangement Of distributed systems. This paper focuses on a novel, push-pull gossiping technique to improve decentralized information dissemination and search within a P2P community. To facilitate an efficient gossiping operation, a distributed discovery algorithm first identifies highly influential peers (called seers) in a community. Then, the push phase multicasts information to these seers so that peers can easily and quickly retrieve this information via a pull phase. Our experiments show that pushing gossip information to only a small number of seers allows a large percentage of peer members to obtain (pull) the information within just two hops.
Communications and the scheduling of tasks are the two most important issues of parallel programming on clusters. Over time, various parallel computing programming models such as remote threads, transparent process mi...
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ISBN:
(纸本)1932415602
Communications and the scheduling of tasks are the two most important issues of parallel programming on clusters. Over time, various parallel computing programming models such as remote threads, transparent process migration, message passing, distributed shared memory and optimizing parallel compilers have emerged, assisting the programmer to develop applications which can work seamlessly in such environments. However their acceptance has varied by virtue of the fact that each has introduced new problems with reference to portability, scalability and usability. Sometimes these problems completely violate the underlying notion of such computing. This paper will examine the evolution of cluster computing and identify where deficiencies lie in current programming models, providing a justification for simple languages while providing the reader with an understanding of the Pshell programming environment we are actively developing. Pshell is the 'glue' for producing high-performance parallelapplications that can work securely and efficiently in heterogeneous environments. In addition to this, the paper illustrates how such a language can be used to ease the process of writing parallelapplications and to overcome some of the limitations inherent in traditional programming models without sacrificing performance.
It is important for almost aU transaction processing and computer-communication systems to satisfy response time quantile targets. This paper describes HYDRA, a scalable parallel tool for the analytical determination ...
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ISBN:
(纸本)1892512416
It is important for almost aU transaction processing and computer-communication systems to satisfy response time quantile targets. This paper describes HYDRA, a scalable parallel tool for the analytical determination of response time densities in large, structurally-unrestricted Markov models derived from high-level specifications. The tool exploits an efficient distributed uniformization-based algorithm, combined with hypergraph partitioning to balance computational load across processors while minimising communication. We demonstrate our tool on a 1.6 million state Generalized Stochastic Petri Net model of a flexible manufacturing system, comparing the accuracy of our results with simulation and contrasting the run-time performance of our technique with an approach based on numerical Laplace transform inversion.
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