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IEEE 5th Biennial Electric Ship Technologies symposium (ESTS)

作者： Asrari, Arash Alattar, Mohamed Abdelwahed, Sherif Mazzola, Michael Mississippi State Univ Dept Elect & Comp Engn Starkville MS USA

ISBN: (纸本)9781467352451;9781467352437

In this paper, a general method to automatically create admittance matrices for power electric networks is presented. this is a part of a joint project between Mississippi State University and University of Texas at Austin Center for Electromechanics (CEM). Starting with an electric network designed in the Mathworks software Simulink (SimPowerSystems) and output from Simulink as an XML file, we parse the XML file for the relevant information (blocks, connectivity, and parameters). the underlying algorithm consists of four stages: 1) Calculate the conductance values of the components in each block, 2) Build a matrix representing the connectivity of components, 3) Assign a unique number for each node, and finally 4) Calculate the admittance matrix using the data obtained from the previous steps. this is the initial work to support the development of a parallel computing tool where the power system will be solved using a tool developed by the University of Texas called CEMSolver. the second phase of this joint project will be finding the most optimal partitioned systems in such a way that the matrices of each partition are distributed to different CPUs and the total CPU usage for these subsystems will be minimal. thus, the power system will be partitioned and each partition will have its own admittance matrix.

关键词： XML electric admittance power electronics power engineering computing

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Planning global software development projects using genetic algorithms

Planning global software development projects using genetic ...

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5th international symposium on Search-Based Software Engineering, SSBSE 2013

作者： Vathsavayi, Sriharsha Sievi-Korte, Outi Koskimies, Kai Systä, Kari Department of Pervasive Computing Tampere University of Technology Tampere Finland

ISBN: (纸本)9783642397417

Planning a Global Software Development project is a challenging task, as it involves balancing both technical and business related issues. On the other hand, the selected software architecture also influences the distributed development, making the separate development of components either easier or more difficult. this kind of planning problem with multiple variables is difficult to solve using deterministic methods. In this work, we propose an approach based on genetic algorithms for planning global software projects. © 2013 Springer-Verlag.

关键词： Software architecture

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Accelerate mapreduce on GPUs with multi-level reduction 13

Accelerate mapreduce on GPUs with multi-level reduction

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5th Asia-Pacific symposium on Internetware, Internetware 2013

作者： Zheng, Ran Liu, Kai Jin, Hai Zhang, Qin Feng, Xiaowen Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781450323697

With Graphics Processing Units (GPUs) becoming more and more popular in general purpose computing, more attentions have been paid on building a framework to provide convenient interfaces for GPU programming. MapReduce can greatly simplify the programming for data-parallel applications in cloud computing environment, and it is also naturally suitable for GPUs. However, there are some problems in recent reduction-based MapReduce implementation on GPUs. Its performance is dramatically degraded when handling massive distinct keys because the massive data cannot be stored in tiny shared memory entirely. A new MapReduce framework on GPUs, called Jupiter, is proposed with continuous reduction structure. Two improvements are supported in Jupiter, a multi-level reduction scheme tailored for GPU memory hierarchy and a frequencybased cache policy on key-value pairs in shared memory. Shared memories are utilized efficiently for various dataparallel applications whether involving little or abundant distinct keys. Experiments show that Jupiter can achieve up to 3x speedup over the original reduction-based GPU MapReduce framework on the applications with lots of distinct keys. Categories and Subject Descriptors D.1.3 [Programming Techniques]: Concurrent Programming- parallel programming General Terms Algorithms, Performance, Design.

关键词： MapReduce

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Hardware and software support for NUMA computing on configurable emulated shared memory architectures

Hardware and software support for NUMA computing on configur...

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2013 IEEE 37th Annual Computer Software and Applications Conference, COMPSAC 2013

作者： Forsell, Martti Hansson, Erik Kessler, Christoph Makela, Jari-Matti Leppanen, Ville Platform Architectures Team VTT Technical Research Centre of Finland Box 1100 FI-90571 Oulu Finland Computer Science Deptartment Linköping University S-58183 Linkoping Sweden Information Technology University of Turku Joukahaisenkatu 3-5 FI-20014 Turku Finland

ISBN: (纸本)9780769549798

the emulated shared memory (ESM) architectures are good candidates for future general purpose parallel computers due to their ability to provide easy-to-use explicitly parallel synchronous model of computation to programmers as well as avoid most performance bottlenecks present in current multicore architectures. In order to achieve full performance the applications must, however, have enough thread-level parallelism (TLP). To solve this problem, in our earlier work we have introduced a class of configurable emulated shared memory (CESM) machines that provides a special non-uniform memory access (NUMA) mode for situations where TLP is limited or for direct compatibility for legacy code sequential computing or NUMA mechanism. Unfortunately the earlier proposed CESM architecture does not integrate the different modes of the architecture well together e.g. by leaving the memories for different modes isolated and therefore the programming interface is non-integrated. In this paper we propose a number of hardware and software techniques to support NUMA computing in CESM architectures in a seamless way. the hardware techniques include three different NUMA-shared memory access mechanisms and the software ones provide a mechanism to integrate NUMA computation into the standard parallel random access machine (PRAM) operation of the CESM. the hardware techniques are evaluated on our REPLICA CESM architecture and compared to an ideal CESM machine making use of the proposed software techniques. © 2013 IEEE.

关键词： Software architecture

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General recommendations for high performance computing data center energy management dashboard display

General recommendations for high performance computing data ...

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2013 IEEE 37th Annual Computer Software and Applications Conference, COMPSAC 2013

作者： Sartor, Dale Mahdavi, Rod Radhakrishnan, Ben D. Bates, Natalie Bailey, Anna Maria Wescott, Ralph Lawrence Berkeley National Laboratory United States Energy Efficient HPC Working Group United States Lawrence Livermore National Laboratory United States Pacific Northwest National Laboratory United States

ISBN: (纸本)9780769549798

Within the past decade, there has been an increasing focus on improving energy efficiency in High Performance computing (HPC). Improvements have been forthcoming, especially in the last 5 years, but there remains a strong need for continued if not accelerated progress. Much of this progress has been and will continue to be driven by market demands and the private sector. Some of the progress has been achieved by government-funded agencies and academic research. there are other mechanisms beyond these formal institutions;these mechanisms include volunteer and non-profit organizations that promote dialogue, analysis, best practices, standards and community activism. the Energy Efficient HPC Working Group (EE HPC WG) is such an organization and this paper describes an effort by the EE HPC WG to drive more rapid improvements in development and implementation of energy management dashboard displays. © 2013 IEEE.

关键词： Energy management

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Detection of covert botnet command and control channels by causal analysis of traffic flows

Detection of covert botnet command and control channels by c...

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5th international symposium on Cyberspace Safety and Security, CSS 2013

作者： Burghouwt, Pieter Spruit, Marcel Sips, Henk Parallel and Distributed Systems Group Delft University of Technology Mekelweg 4 Delft 2628CD Netherlands

ISBN: (纸本)9783319035833

the Command and Control communication of a botnet is evolving into sophisticated covert communication. Techniques as encryption, steganography, and recently the use of social network websites as a proxy, impede conventional detection of botnet communication. In this paper we propose detection of covert communication by passive host-external analysis of causal relationships between traffic flows and prior traffic or user activity. Identifying the direct causes of traffic flows, allows for real-time bot detection with a low exposure to malware, and offline forensic analysis of traffic. the proposed causal analysis of traffic is experimentally evaluated by a self-developed tool called CITRIC with various types of real Command and Control traffic. © Springer international Publishing Switzerland 2013.

关键词： Botnet

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A Study on Fast Visualized parallel Calculation of LRCS Based on CUDA

A Study on Fast Visualized Parallel Calculation of LRCS Base...

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2013 IEEE 5th international symposium on Microwave,Antenna,Propagation and EMC Technologies for Wireless Communications

作者： Lanhai Jin Liangchao Li Kang Wang Yanni Guo School of Science Xidian University

ISBN: (纸本)9781467360760

A fast algorithm of calculating LRCS of a complex target is presented and computational unified device architecture(CUDA) is used for accelerating the color-flagged Graphical Electromagnetic computing(GRECO) *** on the five parameters bidirectional reflectance distribution function(BRDF) model,one target's LRCS can be divided into millions of pixels' computation which are processed on a great many of threads running in *** obtained comparison of CPU calculation and CUDA parallel calculation of one aircraft shows that the speed of CUDA parallel calculation improves several *** the help of CUDA and GRECO method,electromagnetic simulation of LRCS can be processed much more efficiently.

关键词： CUDA LRCS color flagged GRECO parallel calculation parallel PROCESSING (COMPUTERS)

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Building a Privacy-Preserving Semantic Overlay for Peer-to-Peer Networks

Building a Privacy-Preserving Semantic Overlay for Peer-to-P...

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5th IEEE international Workshop on Information Forensics and Security (WIFS)

作者： Zeilemaker, Niels Erkin, Zekeriya Palmieri, Paolo Pouwelse, Johan Delft Univ Technol Parallel & Distributed Syst Grp Mekelweg 4 NL-2628 CD Delft Netherlands Delft Univ Technol Informat Secur & Privacy Lab NL-2628 CD Delft Netherlands

ISBN: (纸本)9781467355919

Searching a Peer-to-Peer (P2P) network without using a central index has been widely investigated but proved to be very difficult. Various strategies have been proposed, however no practical solution to date also addresses privacy concerns. By clustering peers which have similar interests, a semantic overlay provides a method for achieving scalable search. Traditionally, in order to find similar peers, a peer is required to fully expose its preferences for items or content, therefore disclosing this private information. However, in a hostile environment, such as a P2P system, a peer can not know the true identity or intentions of fellow peers. In this paper, we propose two protocols for building a semantic overlay in a privacy-preserving manner by modifying existing solutions to the Private Set Intersection (PSI) problem. Peers in our overlay compute their similarity to other peers in the encrypted domain, allowing them to find similar peers. Using homomorphic encryption, peers can carrying out computations on encrypted values, without needing to decrypt them first. We propose two protocols, one based on the inner product of vectors, the other on multivariate polynomial evaluation, which are able to compute a similarity value between two peers. Both protocols are implemented on top of an existing P2P platform and are designed for actual deployment. Using a supercomputer and a dataset extracted from a real world instance of a semantic overlay, we emulate our protocols in a network consisting of a thousand peers. Finally, we show the actual computational and bandwidth usage of the protocols as recorded during those experiments.

关键词： computer network security cryptographic protocols data privacy peer-to-peer computing polynomials

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parallel Hoeffding decision tree for streaming data

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Advances in Intelligent Systems and computing 2013年 217卷 27-35页

作者： Cal, Piotr Woźniak, Michal Wroclaw University of Technology Department of Systems and Computer Networks Wybrzeze Wyspiańskiego 27 50-370 Wroclaw Poland

ISBN: (纸本)9783319005508

Decision trees are well known, widely used algorithm for building efficient *** propose the modification of the parallel Hoeffding Tree algorithm that could deal with large streaming data. the proposed method were evaluated on the basis of computer experiment which were carried on few real datasets. the algorithm uses parallel approach and the Hoeffding inequality for better performance with large streaming data. the paper present the analysis of Hoeffding tree and its issues. © Springer international Publishing Switzerland 2013.

关键词： Decision trees

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A Self-Organizing Architecture for Cloud by Means of Infrastructure Performance and Event Data

A Self-Organizing Architecture for Cloud by Means of Infrast...

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IEEE international Conference on Cloud computing Technology and Science (CloudCom)

作者： Martin Serrano Manfred Hauswirth Nikos Kefalakis John Soldatos Digital Enterprise Research Institute DERI - NUI Galway Galway Ireland Athens Institute of Technology AIT Athens Greece

the management performance of cloud systems is measured by the capacity of the cloud for controlling virtual infrastructures and their capability to run parallel-computing applications and distributed-processing services independently. the challenge about how this management performance can be done more dynamically (self-organization) by means of distributed user data and application data demands is yet an area to explore. this paper introduces first a functional architecture design, following the principles for cloud-based service lifecycle control and service composition in cloud, and second an in-house approach enabling self-organization for cloud services controlling the installation of virtual machines by using event-driven management operations acting as a proof of concept implementation. From a management point of view in cloud, enabling control of virtual infrastructures as a response to performance protocols by means of event(s) data processing is fundamental. Likewise managing cloud services lifecycle by enabling scalable applications and using distributed information systems and linked data processing, guarantee the self-organizing feature for cloud systems. Finally multiple advantages arise when infrastructure performance and end user data are used in cloud service management as it is discussed in this paper.

关键词： Cloud computing Data models Computer architecture Service-oriented architecture Adaptation models distributed databases Data processing

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