Eigenanalysis-based task mapping on parallel computers with cellular networks

Zhang, Peng; Gao, Yuxiang; Fierson, Janet; Deng, Yuefan

doi:10.1090/s0025-5718-2013-02770-6

Cited by 22 publications

(5 citation statements)

References 15 publications

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“…As a new method of machine learning, RN is unique and significant, as it might provide better predictions than other known modeless methods and can be applied to the fields as broad as artificial intelligence, machine learning, intelligent data mining, big data, mobile applications [11] and cyber security [12].…”

Section: Results and Conclusionmentioning

confidence: 99%

Natural Language Translator Correctness Prediction

J¹

2016

JCSAIT

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Open Access Research articlecorresponding regions and Baidu with 63% of market share in China. This one of our conducted survey with its results made us think wider into this topic of language translation.Rather than analyzing only Google Translate and focusing only on English, we broaden our scope to other languages. Connecting with our survey respondents also helped us obtain initial data samples for language pairs not only involving English, such as German-to-Russian and Italian-to-French. Some of the survey respondents agreed to expertly verify samples of such translation accuracy, which helped us greatly to launch our mobile RN-Chatter application with a big variety of supported languages.Our main contribution to the topic of intelligent data mining is the innovative idea of applying fairly simple method RN to the complicated topic of translation correction predictions. Through integrating the value of predicted translation correctness in the best way to the chatting application, the messager facilitates the communication among users using various natural languages. Showing our users on receiving part of the conversation the value of the translation correctness makes them being aware of how trustworthy the provided translation is in real time, which helps to improve the ultimate correctness over time by applying our new method RN method.This approach of integrating RN to real-time messager greatly decreases the potential level of overall misunderstanding in international communications. It is a direct path to benefit potentially very large number of users through the friendly interface of RN-chatters. Overall the RN method and its accompanying application, RN-chatter, make it possible to improve international communications, which is now in the mainstream of the Artificial Intelligence and Machines Learning research.As we see in the news channels on the daily basis, many countries and their people in the world stay completely or partially disconnected from others, losing the ability to be understood and to understand others as the distance grows. This RN-chatter has the potential to connect people and end the era of isolations and conflicts caused by misunderstanding. Many existing messagers do provide language translation features. But as we discussed AbstractThis paper presents a new approach to predictive data analytics, called Radius of Neighbors (RN), and its mobile application, a multilingual RN-Chatter, devoted to improving communication among people, speaking different languages. RN is a modeless method of supervised machine learning, what makes it a fairly simple but effective way of analyzing big amounts of data while keeping an acceptable speed of execution and taking up little run-time space. In the first preparatory stage of our research, we discovered that RN gives better results than well-known K-Nearest Neighbors (KNN) in some cases. We then extended our research to simulating the adjustments of floating radiuses, various volumes of the training data sets and ups and downs of the dimensions ...

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Section: Results and Conclusionmentioning

confidence: 99%

Natural Language Translator Correctness Prediction

J¹

2016

JCSAIT

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“…Once attacks are detected, the subsequent important topic is the diagnosis of identifying the attackers. In our opinion, we need to record all network activities in order to carry out the automatic diagnosis, which requires a large processing power such as the infrastructure presented in Zhang and Gao (2015) and Zhang et al (2014).…”

Section: Concluding Observationsmentioning

confidence: 99%

An experiment of hit-and-run wireless attacks

Liou

2017

IJIPSI

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Most security research focuses on protection from security threats. In this paper, we surveyed potential attacks to wireless networks, especially the usage of virtual machine infrastructure to carry out hit-and-run type of attacks. In the study of attacks, we demonstrate how to use a virtual machine to gain access and control to wireless routers while hiding attacker identities. We illustrate such attacks on our own private wireless network, as well as neighbourhood networks with granted permissions. Besides identifying the vulnerabilities of wireless routers, we studied the damages that can be done through such attacks and propose some solutions to detect and protect against this kind of hit-and-run attacks.

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“…The Eqs. ( 7), (8), and (9) determine the entries labeled by κ and κ ′ of the adjacency matrix of the mesh, hypercubic and symplectic topologies that shall have values equal to 0 or 1. The Figure 4 shows three examples of adjacency matrices for the symplectic graphs.…”

Section: Adjacency Properties On Lattices and Graphsmentioning

confidence: 99%

“…Therefore, developing systematic tools for optimally interconnect the ever increasing number of communicating components of supercomputers is an important challenge for the HPC community [5,6]. A requirement for those tools is to diminish the distance between software and hardware through a unified framework that would enable the development of architecture-aware programming tools for more efficient communication or task mapping [7,8].…”

Section: Introductionmentioning

confidence: 99%

Symmetry-guided design of topologies for supercomputer networks

Ramos¹,

Deng²

2017

Preprint

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A family of graphs optimized as the topologies for supercomputer interconnection networks is proposed. The special needs of such network topologies, minimal diameter and mean path length, are met by special constructions of the weight vectors in a representation of the symplectic algebra. Such theoretical design of topologies can conveniently reconstruct the mesh and hypercubic graphs, widely used as today's network topologies. Our symplectic algebraic approach helps generate many classes of graphs suitable for network topologies.

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Eigenanalysis-based task mapping on parallel computers with cellular networks

Cited by 22 publications

References 15 publications

Natural Language Translator Correctness Prediction

Natural Language Translator Correctness Prediction

An experiment of hit-and-run wireless attacks

Symmetry-guided design of topologies for supercomputer networks

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