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IEEE Workshop on Neural Networks for Signal Processing

作者： J. Kohlmorgen S. Lemm G. Ratsch K.-R. Muller GMD FIRSTGerman National Research Center for Information Technology Institute for Computer Architecture and Software Technology Berlin Germany

Presents a method for the analysis of time series from drifting or switching dynamics. In an extension to existing approaches that identify switches or drifts between stationary dynamical modes, the method allows one to analyze even continuously varying dynamics and can identify mixtures of more than two dynamical modes. The architecture is based on a mixture of self-organizing Nadaraya-Watson kernel estimators. The mixture model is trained by barrier optimization, a technique for constrained optimization problems. We apply the proposed method to artificially generated data and EEG recordings from the wake/sleep transition.

关键词： Time series analysis Predictive models Electroencephalography Kernel Constraint optimization Information technology computer architecture software Electronic mail Switches

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Multi-core technology for fault tolerant high-performance spacecraft computer systems

Multi-core technology for fault tolerant high-performance sp...

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DAta Systems In Aerospace, DASIA 2012

作者： Behr, Peter M. Haulsen, Ivo Van Kampenhout, J. Reinier Pletner, Samuel Fraunhofer Institute for Computer Architecture and Software Technology Fraunhofer FIRST Kékulestr 7 12489 Berlin Germany

ISBN: (纸本)9789290922650

The current architectural trends in the field of multi-core processors can provide an enormous increase in processing power by exploiting the parallelism available in many applications. In particular because of their high energy efficiency, it is obvious that multi-core processor-based systems will also be used in future space missions. In this paper we present the system architecture of a powerful optical sensor system based on the eight core multi-core processor P4080 from Freescale. The fault tolerant structure and the highly effective FDIR concepts implemented on different hardware and software levels of the system are described in detail. The space application scenario and thus the main requirements for the sensor system have been defined by a complex tracking sensor application for autonomous landing or docking manoeuvres.

关键词： Fault tolerance

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A decomposition based algorithm for maximal contractions

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Frontiers of computer Science 2013年第6期7卷 801-811页

作者： Dongchen JIANG Wei LI Jie LUO Yihua LOU Zhengzhong LIAO State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China Tencent Technology (Beijing) Company Limited Beijing 100080 China

This paper proposes a decomposition based algo- rithm for revision problems in classical propositional logic. A set of decomposing rules are presented to analyze the satis- fiability of formulas. The satisfiability of a formula is equivalent to the satisfiability of a set of literal sets. A decomposing function is constructed to calculate all satisfiable literal sets of a given formula. When expressing the satisfiability of a formula, these literal sets are equivalent to all satisfied models of such formula. A revision algorithm based on this decomposing function is proposed, which can calculate maximal contractions of a given problem. In order to reduce the memory requirement, a filter function is introduced. The improved algorithm has a good performance in both time and space perspectives.

关键词： belief change maximal contraction decomposing rules revision algorithm

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software Defect Prediction via Deep Belief Network

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Chinese Journal of Electronics 2019年第5期28卷 925-932页

作者： WEI Hua SHAN Chun HU Changzhen ZHANG Yu YU Xiao School of Computer Science and Technology Beijing Institute of Technology China Information Technology Security Evaluation Center Beijing Key Laboratory of Software Security Engineering Technology Beijing Institute of Technology School of Electrical and Information Engineering and Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture State Key Laboratory in China for Geomechanics and Deep Underground Engineering (Beijing) China University of Mining and Technology School of Computer Science and Technology Shandong University of Technology

Defect distribution prediction is a meaningful topic because software defects are the fundamental cause of many attacks and data loss. Building accurate prediction models can help developers find bugs and prioritize their testing efforts. Previous researches focus on exploring different machine learning algorithms based on the features that encode the characteristics of *** problem of data redundancy exists in software defect data set, which has great influence on prediction *** propose a defect distribution prediction model(Deep belief network prediction model, DBNPM), a system for detecting whether a program module contains defects. The key insight of DBNPM is Deep belief network(DBN)technology, which is an effective deep learning technique in image processing and natural language processing,whose features are similar to defects in source *** results show that DBNPM can efficiently extract and process the data characteristics of source program and the performance is better than Support vector machine(SVM), Locally linear embedding SVM(LLE-SVM), and Neighborhood preserving embedding SVM(NPE-SVM).

关键词： Defect prediction software security Deep belief network(DBN)

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POSTER: STAR (Space-Time Adaptive and Reductive) Algorithms for Real-World Space-Time Optimality

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ACM SIGPLAN Notices 2017年第8期52卷 455-456页

作者： Tang, Yuan You, Ronghui School of Computer Science School of Software Fudan University Shanghai Key Lab. of Intelligent Information Processing State Key Lab. of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China

It's important to hit a space-time balance for a real-world algorithm to achieve high performance on modern shared-memory multi-core or many-core systems. However, a large class of dynamic programs with more than $O(1)$ dependency achieve optimality either in space or time, but not both. In the literature, the problem is known as the fundamental space-time tradeoff. By exploiting properly on the runtime system, we show that our STAR (Space-Time Adaptive and Reductive) technique can help these dynamic programs to achieve sublinear parallel time bounds while still maintaining work-, space-, and cache-optimality in a processor- and cache-oblivious fashion. © 2017 ACM.

关键词： Real time systems

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An on-line method for segmentation and identification of non-stationary time series

An on-line method for segmentation and identification of non...

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IEEE Workshop on Neural Networks for Signal Processing

作者： J. Kohlmorgen S. Lemm German National Research Center for Information Technology Institute for Computer Architecture and Software Technology GMD FIRSaint IDA Berlin Germany

We present a method for the analysis of non-stationary time series from dynamical systems that switch between multiple operating modes. In contrast to other approaches, our method processes the data incrementally and without any training of internal parameters. It straightaway performs an unsupervised segmentation and classification of the data on-the-fly. In many cases it even allows to process incoming data in real-time. The main idea of the approach is to track and segment changes of the probability density of the data in a sliding window on the incoming data stream. An application to a switching dynamical system demonstrates the potential usefulness of the algorithm in a broad range of applications.

关键词： Switches Time series analysis

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Process-oriented collaboration in grid-environments: A case study in the construction industry

Process-oriented collaboration in grid-environments: A case ...

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15th Americas Conference on Information Systems 2009, AMCIS 2009

作者： Dollmann, Thorsten Fellmann, Michael Thomas, Oliver Loos, Peter Hoheisel, Andreas Katranuschkov, Peter Scherer, Raimar J. Saarland University Saarbruecken Germany Fraunhofer Institute for Computer Architecture and Software Technology Berlin Germany Institute of Construction Informatics TU Dresden Germany

ISBN: (纸本)9781615675814

This paper addresses the process-oriented collaboration based on a grid-based platform for the support of virtual organizations (VO), illustrated on the example of the construction industry. Distributed, organizational and IT-structures of teams involved in vintage complex projects cannot be managed with conventional methods in an appropriate manner. Both using a grid platform and grid-based services, in conjunction with semantic methods for consistency saving and goal-oriented process management can increase the efficiency of collaboration processes in large-scale projects. A hybrid grid- and web service-based architecture for the next generation of VO service and a gateway solution was developed integrating the process-oriented perspective and prototypically implemented. The problem, as well as the solution on the basis of the hybrid system architecture combing the benefits of the cutting-edge technologies, the methodical concept for modeling VO processes and their automated execution on a grid platform are discussed in detail.

关键词： Web services

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Accelerate Bit Manipulation in XiangShan Processer Using RISC-V B Extension and Instruction Fusion

Accelerate Bit Manipulation in XiangShan Processer Using RIS...

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2022 International Conference on Cloud Computing, Internet of Things, and computer Applications, CICA 2022

作者： Zhang, Fawang Tang, Dan Cai, Ye College of Computer Science and Software Engineering Shenzhen University Shenzhen China State Key Laboratory of Computer Architecture Institute of Computing Technology Beijing China

ISBN: (纸本)9781510656673

In the field of high-performance computing, some application scenarios make extensive use of bit manipulation. RISC-V foundation issues B extension to reduce the number of instructions during the static compilation. But this extension does not cover the more frequent operations fully. Instruction fusion technology can fuse multiple instructions into one instruction at the decode stage to dynamically reduce the number of instructions. Therefore, this technology can supplement RISC-V B extension uncovered instruction, enhancing the processor’s capabilities for bit manipulation. This paper implements the RISC-V B extension 1.0 version on the Xiangshan processor. For accelerating more bit manipulation, we profiled general benchmarks by the simulator, proposed ten new instructions fusion targets, and implemented a fusion decode unit. Finally, we use Coremark and SPEC CPU 2006 integer to evaluate the performance. The Coremark results show that dynamic instructions reduce by 18.14%, and the performance improves by 12.09%. © 2022 SPIE.

关键词： Decoding

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Enhancing root cause analysis with runtime models and interactive visualizations 8

Enhancing root cause analysis with runtime models and intera...

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8th Workshop on Models @ Run.time, MRT 2013 - Co-located with 16th International Conference on Model Driven Engineering Languages and Systems, MODELS 2013

作者： Szvetits, Michael Zdun, Uwe Software Engineering Group Information Technology Institute University of Applied Sciences Wiener Neustadt Germany Software Architecture Group Faculty of Computer Science University of Vienna Austria

Recent research shows that runtime models can be used to build dynamic systems coping with changing requirements and execution environments. As software systems are getting bigger and more complex, locating malfunctioning software parts is no trivial task because of the vast amount of possible error sources and produced logging information. This information has to be traced back to faulty components, which often leads to editing of code scattered over different software artefacts. With such a fragmented view, challenges arise in finding out the root cause of the unwanted software behaviour. In this paper we propose the usage of runtime models in combination with model-driven techniques and interactive visualizations to ease tracing between log file entries and corresponding software artefacts. The contribution of this paper is a repository-based approach to augment root cause analysis with interactive tracing views while maximizing reusability of models created during the software development process.

关键词： Reusability

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M3-Simulation multidisciplinary simulation of sustainability strategies

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Systems Analysis Modelling Simulation 2003年第9期43卷 1243-1247页

作者： Rosé, Helge GMD German National Research Center for Information Technology Research Institute for Computer Architecture and Software Technology Kekuléstr. 7 D-12489 Berlin Germany

Complex real world systems are currently developing to become a decisive instrument for IT-supported problem solving of a great number of problems posed by science, economy and society. By this, we for the first time face the chance of being able to find new solutions, visions, and strategies for sustainable development on the basis of complex, real world simulations. M3-Simulations is a simulation approach that actively involves man in a simulated world based on scientifically-founded simulation models driven by current data of measurement. This new kind of simulation concept combines reality-based modeling of scientific simulation systems with the intuitive graphic representation, complex communication and interaction structures of virtual worlds in order to support the process of investigation into the possibilities of sustainable development.

关键词： Large scale systems

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