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检索条件"机构=Service Computing Technology and System Key Laboratory"

共 2401 条记录，以下是2011-2020 订阅

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P-GAS: Parallelizing a cycle-accurate event-driven many-core processor simulator using parallel discrete event simulation 10

P-GAS: Parallelizing a cycle-accurate event-driven many-core...

引用

24th Annual Workshop on Principles of Advanced and Distributed Simulation, PADS 2010

作者： Lv, Huiwei Cheng, Yuan Bai, Lu Chen, Mingyu Fan, Dongrui Sun, Ninghui Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences China Graduate School Chinese Academy of Sciences China

ISBN: (纸本)9781424472918

Multi-core processors are commonly available now, but most traditional computer architectural simulators still use single-thread execution. In this paper we use parallel discrete event simulation (PDES) to speedup a cycle-accurate event-driven many-core processor simulator. Evaluation against the sequential version shows that the parallelized one achieves an average speedup of 10.9× (up to 13.6×) running SPLASH-2 kernel on a 16-core host machine, with cycle counter differences of less than 0.1%. Moreover, super-linear speedups are achieved between running 1 thread and 8 threads due to reduced overhead of insert-event-to-queue time and increased cache size in parallel processing. We conclude that PDES could be an attractive option for achieving fast cycle-accurate many-core processor simulations. © 2010 IEEE.

关键词： Simulators

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A novel post-silicon debug mechanism based on Suspect Window

A novel post-silicon debug mechanism based on Suspect Window

引用

作者： Gao, Jianliang Han, Yinhe Li, Xiaowei Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Graduate University of Chinese Academy of Sciences Beijing China

Bugs are becoming unavoidable in complex integrated circuit design. It is imperative to identify the bugs as soon as possible through post-silicon debug. For post-silicon debug, observability is one of the biggest challenges. Scan-based debug mechanism provides high observability by reusing scan chains. However, it is not feasible to scan dump cycle-by-cycle during program execution due to the excessive time required. In fact, it is not necessary to scan out the error-free states. In this paper, we introduce Suspect Window to cover the clock cycle in which the bug is triggered. Then, we present an efficient approach to determine the suspect window. Based on Suspect Window, we propose a novel debug mechanism to locate the bug both temporally and spatially. Since scan dumps are only taken in the suspect window with the proposed mechanism, the time required for locating the bug is greatly reduced. The approaches are evaluated using ISCAS'89 and ITC'99 benchmark circuits. The experimental results show that the proposed mechanism can significantly reduce the overall debug time compared to scan-based debug mechanism while keeping high observability. Copyright © 2010 The Institute of Electronics, Information and Communication Engineers.

关键词： Observability

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TMemCanal: A VM-oblivious dynamic memory optimization scheme for virtual machines in cloud computing

TMemCanal: A VM-oblivious dynamic memory optimization scheme...

引用

10th IEEE International Conference on Computer and Information technology, CIT-2010, 7th IEEE International Conference on Embedded Software and systems, ICESS-2010, 10th IEEE Int. Conf. Scalable computing and Communications, ScalCom-2010

作者： Li, Yaqiong Huang, Yongbing Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences China Graduate University Chinese of Academy of Sciences China

ISBN: (纸本)9780769541082

In current virtualized cloud platforms, resource provisioning strategy is still a big challenge. Provisioning will gain low resource utilization based on peak workload, and provisioning based on average work loads will sacrifice the potential revenue of cloud customers because of bad user experiences. VM-based performance isolation also restrains resource flowing on demand. As to memory, this eventually results in under-loaded memory and over-loaded memory in the same data center. This paper proposes a VM-oblivious dynamic memory optimization scheme, TMemCanal, which leverages under-loaded memory in a data center to accommodate the needs of loaded memory dynamically in a transparent fashion. TMemCanal is able to identify the under-loaded memory located in different VMs and reuse it in a way of memory flowing without any modification to their Guest OSs. We implemented TMemCanal through extending Xen hypervisor and evaluated using SpecWeb 2005 and LinkPack Benchmarks. Our evaluation shows that TMemCanal can efficiently save memory up to 50% with an overhead less than 7%. Our case study of server consolidation also shows TMemCanal can promote the performance of memory-intensive services up to 400%. © 2010 IEEE.

关键词： Virtual machine

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A new method of image data fusion based on FNN

A new method of image data fusion based on FNN

引用

2010 6th International Conference on Natural Computation, ICNC'10

作者： Zhang, De-Gan Li, Chao Wang, Dong Zhang, Xiao-Li Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 China

ISBN: (纸本)9781424459612

The image data are obtained by a variety of multimedia, information equipment, which include amount of information, extensive coverage, and redundancy in ubiquitous computing paradigm. In order to make use of these information reasonably and efficiently, it is necessary to fuse such massive data, therefore the multi-sensor image information fusion become a key technology to ubiquitous computing. A new approach of image data fusion based on fuzzy neural network (FNN) is presented in this paper. Here, neural network is a parallel information processing model, there are more adaptive and self-organization, and can accomplish the complexity of real-time computing and mass data retrieval, it demonstrate its unique superiority of image understanding, pattern recognition and the handling of incomplete information. In the new approach, fuzzy theory has the advantages such as: easy-to-understand, flexible and inclusive of non-precise data, as well as using expert knowledge and based on the natural language. The fuzzy neural network system developed by us has used in multi-sensor image fusion, proved that the fusion is fast, effective, good, and can meet the real-time requirements of ubiquitous computing. ©2010 IEEE.

关键词： Fuzzy neural networks

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Extended selective encoding of scan slices for reducing test data and test power

Extended selective encoding of scan slices for reducing test...

引用

作者： Liu, Jun Han, Yinhe Li, Xiaowei Key Laboratory of Computer System and Architecture Institute of Computing Technology Graduate University of Chinese Academy of Sciences China School of Computer and Information Hefei University of Technology China

Test data volume and test power are two major concerns when testing modern large circuits. Recently, selective encoding of scan slices is proposed to compress test data. This encoding technique, unlike many other compression techniques encoding all the bits, only encodes the target-symbol by specifying a single bit index and copying group data. In this paper, we propose an extended selective encoding which presents two new techniques to optimize this method: a flexible grouping strategy, X bits exploitation and filling strategy. Flexible grouping strategy can decrease the number of groups which need to be encoded and improve test data compression ratio. X bits exploitation and filling strategy can exploit a large number of don't care bits to reduce testing power with no compression ratio loss. Experimental results show that the proposed technique needs less test data storage volume and reduces average weighted switching activity by 25.6% and peak weighted switching activity by 9.68% during scan shift compared to selective encoding. Copyright © 2010 The Institute of Electronics, Information and Communication Engineers.

关键词： Filling

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Evolutionary behavior verification to the trustworthy banking software

Evolutionary behavior verification to the trustworthy bankin...

引用

International Conference on Computer Engineering and technology

作者： Jiang, Zuo-Wen Tang, Xian-Fei Ding, Zhi-Jun Jiang, Chang-Jun Electronics and Information Engineering School Tongji University 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University 200092 China College of Science and Technology NingBo University 315211 China

ISBN: (纸本)9781424463503

Oriented to the goal of high-quality banking softwares, trustworthiness is emerging to be important property. This paper studies how to apply formal methods into the trustworthy property preservation of evolutionary components, focusing on the safety property of the concurrent software behavior, this paper presents a new approach to curb the state explosion problem in the model checking based trustworthiness verification. By adopting the environment reduction paradigm, our method is able to reduce the global states of the system by hiding the internal actions of the environment that does not join in the interleaving composition. The method presented is proved and testified with a bank software case study. Experiment data shows that our method is able to improve the verification efficiency. © copy;2010 IEEE.

关键词： Model checking

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Outlier detection for learning-based optimizing compiler

Outlier detection for learning-based optimizing compiler

引用

International Conference on Frontier of Computer Science and technology

作者： Long, Shun Zhu, Weiheng Department Ofcomputer Science JiNan University Guangzhou China Key-Laboratory Ofcomputer System and Architecture Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)9780769541396

Modern compilers use machine learning to find from their prior experience useful heuristics for new programs encountered in order to accelerate the optimization process. However, prior experience might not be applicable for outlier programs with unfamiliar code features. This paper presents a Reverse K-nearest neighbor (RKNN) algorithm based approach for outlier detection. The compiler can therefore launch a search within an optimization space when outlier programs are encountered, or directly apply its experience to non-outliers. Preliminary experimental results demonstrate the effectiveness of the approach. © 2010 IEEE.

关键词： Statistics

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The detection of IRC botnet based on abnormal behavior

The detection of IRC botnet based on abnormal behavior

引用

2010 2nd International Conference on MultiMedia and Information technology, MMIT 2010

作者： Zilong, Wang Jinsong, Wang Wenyi, Huang Chengyi, Xia Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769540085

Botnet is one of the major security threats to Internet. In this paper, botnet communication and attack patterns were introduced, and the discovery method of botnet based on abnormal behavior was studied. For the current botnet, mainly based on IRC protocol, an automatic identification system is designed to help analyze and dispose botnet effectively. © 2010 IEEE.

关键词： Network security

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Spike sorting based on radial basis function network with overlap decomposition

Spike sorting based on radial basis function network with ov...

引用

2010 6th International Conference on Natural Computation, ICNC'10

作者： Dai, Min Hu, Su-Rui Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology 300191 Tianjin China

ISBN: (纸本)9781424459612

Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the serious problems in the spike sorting of multi-channel recordings. In this paper, a modified radial basis function (RBF) network is proposed to decompose the overlapped signals and separate spikes within the same RBF network. A modified radial basis function based on Gaussian function is employed in the method to improve the accuracy of overlap decomposition. In addition, the improved constructing algorithm reduces the calculation cost by taking advantage of the symmetry of the RBF network. The performance of the presented method is tested at various signal-to-noise ratio levels based on simulation data coming from the University of Leicester. Experiment results show that our method successfully resolves the fully overlapping problem and has better accuracy comparing with the Gaussian function. © 2010 IEEE.

关键词： Radial basis function networks

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KNOB particle swarm optimizer 1

引用

1st International Conference on Advances in Swarm Intelligence, ICSI 2010

作者： Zhang, Junqi Liu, Kun Tan, Ying Key Laboratory of Embedded System and Service Computing Department of Computer Science and Technology Tongji University Shanghai 200092 China Department of Machine Intelligence School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

ISBN: (数字)9783642134951

ISBN: (纸本)3642134947

It is not trivial to tune the swarm behavior just by parameter setting because of the randomness, complexity and dynamic involved in particle swarm optimizer (PSO). Hundreds of variants in the literature of last decade, brought various mechanism or ideas, sometimes also from outside of the traditional metaheuristics field, to tune the swarm behavior. While, in the same time, additional parameters have to be afforded. This paper proposes a new mechanism, named KNOB, to directly tune the swarm behavior through parameter setting of PSO. KNOB is defined as the first principal component of the statistical probability sequence of exploration and exploitation allocation along the search process. The using of the KNOB to tune PSO by parameter setting is realized through a statistical mapping, between the parameter set and the KNOB, learned by a radial basis function neural network (RBFNN) simulation model. In this way, KNOB provides an easy way to tune PSO directly by its parameter setting. A simple application of KNOB to promote is presented to verify the mechanism of KNOB. © 2010 Springer-Verlag.

关键词： Particle swarm optimization (PSO)

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