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Optimizing BLAS2 for a decoupled access/execute architecture processor

Journal of Computational Information Systems 2014年第3期10卷 1231-1241页

作者： Zhao, Zeng Gu, Naijie Yang, Yangzhao Ren, Kaixin School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China USTC and Loongson Technology Associated Laboratory Institute of Advanced Technology University of Science and Technology of China Hefei 230027 China Anhui Province Key Laboratory of Computing and Communication Software Hefei 230027 China

Basic Linear Algebra Subroutines (BLAS) is a widely used basic mathematical library for high-performance computing. It has a great impact on the performance of supercomputers. This paper focuses on memory accessing optimization for the level-2 library of BLAS (BLAS2) based on Godson-3B chips. The key contribution of this work is proposing several methods to make full use of the Godson-3B's hardware features, as well as to improve the performance of memory access. GEMV, the kernel function of BLAS2, is selected to demonstrate the optimization methods for Godson-3B. Using Single Instruction Multiple Data (SIMD) instructions, Direct Register Access (DRA) and Direct Cache Access (DCA) of Godson-3B, two optimization algorithms for GEMV are introduced in this paper. Experiments show that the best computing performance of the optimized GEMVs on Godson-3B is more than 1.8Gops, which is far superior to that of other versions. While the test scale of GEMVs is greater than the size of L2-cache, its average performance exceeds UBLAS and OpenBlas, the two most famous optimized BLAS libraries for GODSON, by more than 60% and 20% respectively. © 2014 Binary Information Press.

关键词： Supercomputers

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Real-Valued Negative Databases 12

Real-Valued Negative Databases

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12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013

作者： Zhao, Dongdong Luo, Wenjian School of Computer Science and Technology University of Science and Technology of China Hefei Anhui230027 China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui230027 China

ISBN: (纸本)9780262317092

The negative database (NDB) is the negative representation of original data. Existing work has demonstrated that NDB can be used to preserve privacy and hide information. However, most work about NDB is based on binary representation. In some applications which are naturally descripted in real-valued space, the binary negative database is hard to be applied appropriately. Therefore, the real-valued negative database is proposed in this paper, and reversing the real-valued negative database is proved to be an NP-hard problem. Moreover, an effective algorithm for generating real-valued negative databases is given. Finally, an example of applying the realvalued negative database to the privacy-preserving data publication is descripted, and it shows that the real-valued negative database is valuable in practice. © 2013 Proceedings of the 12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013. All rights reserved.

关键词： Computational complexity

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Cache locking optimization in java virtual machine

Cache locking optimization in java virtual machine

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2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Lin, Chuanwen Gu, Naijie Cai, Songsong School of Computer Science and Technology University of Science and Technology of China Anhui Province Key Laboratory of Computing and Communication Software Hefei China Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479916603

Cache plays an important role in multilevel storage system. It can greatly reduce the memory access latency. So the cache hit rate has a significant impact on the performance of the application. Many processors provide cache locking mechanism, which can lock the certain lines in cache. It enables an application to affect the cache replacement decisions under software control. This paper presents a novel method, which uses cache locking mechanism to reduce the run-time of java virtual machine (JVM). JVM often uses just-in-time compiler (JIT) to improve the performance. JIT compiles the method that has been invoked certain times, and then JVM executes the compiled method when invoking this method the next time. This paper analyzes the calling situation of the compiled method in JVM, and then proposes a heuristic approach to lock the compiled method in cache for an appropriate period. It can reduce cache miss rate when JVM executes the compiled method. The algorithm has been implemented in HotSpot based on Loongson-3A. Also, it can be implemented in other run-time systems. Experiment results show that the cache locking heuristic algorithm averagely reduces the cache miss rate by 8.5%, and improves the performance by 4% on the benchmark SPECjvm2008. © 2013 IEEE.

关键词： Application programs

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A qualitative modeling and simulation method based on cloud model

A qualitative modeling and simulation method based on cloud ...

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2013 5th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2013

作者： Shao, Chenxi Sun, Kelu Zhenzhong, Shao Computer Science and Technology Dept. University of Science and Technology of China Hefei 230027 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230027 China Jianghuai Automobile Co. Ltd. Hefei 230022 China

ISBN: (纸本)9781467358149

Qualitative simulation is effective methods processing incomplete knowledge, how to represent qualitative knowledge and reduce spurious behaviors is its research emphasis. Contraposing the limitations of existing methods representing qualitative knowledge and filtering spurious behaviors, an approach is proposed to qualitatively model and simulate on the basis of normal cloud model. In this research, the cloud numeric characteristics and cloud measurement are introduced into this approach;consequently, it can more accurately assess the qualitative knowledge, and expand the variables expression and quantity space;meanwhile, it is constructed the means of modeling and simulation by adopting more amply portraying the system status, more intuitively transforming status and more accurately filtering spurious behaviors. Furthermore, in simulation algorithm, cloud measurement indices are employed to significantly select the successor status which can not be determined by existing constraint means. The results of simulation example demonstrate that our approach effectively improves the ability to filter spurious behaviors, and it is a feasible method. © 2013 IEEE.

关键词： Cloud computing

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Sparse learning for face recognition with social context

Sparse learning for face recognition with social context

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4th International Conference on Intelligence Science and Big Data engineering, IScIDE 2013

作者： Gui, Jie Mi, Jian-Xun Lei, Ying-Ke Wang, Hong-Qiang State Key Laboratory of Software Engineering Wuhan University 430072 China Hefei Institute of Intelligent Machines Chinese Academy of Sciences Hefei Anhui China State Key Laboratory for Novel Software Technology Nanjing University China Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen Guangdong Province China Electronic Engineering Institute Hefei Anhui 230037 China

ISBN: (纸本)9783642420566

Face recognition in uncontrolled environments, such as large pose variations, and extreme ambient illumination and expressions is a challenging task for traditional face recognition methods. Some recent works show that context information such as clothes and social relationships is very important for solving the problem. Furthermore, sparse representation-based method is very robust for face occlusion and pixel contamination. In this paper, the authors propose a sparse learning framework for face recognition with social context. First, sparse representation based dimensionality reduction method is used to find the low dimension representation of the face images. Second, sparse representation based classification is utilized to classify test face images as known label and unknown label. Third, for test images classified as unknown label, social context descriptor is constructed according to co-existence information. Finally, based on social context descriptor and the low dimension representation of the test images classified as unknown label, sparse representation based clustering is adopted to perform face recognition. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Face recognition

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Accurate classification of time series based on a new robust similarity measure

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Journal of Computational Information Systems 2013年第9期9卷 3521-3528页

作者： He, Xiaoxu Shao, Chenxi Xiong, Yan School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230027 China

Among different time series data mining, time series classification is one of the most important aspects. How to design a suitable similarity measure of similarity is a burning issue for accurate time series classification. In this paper, we propose a new similarity measure based on feature exaction of the original time series. The new similarity measure is used in classification with the nearest neighbor rule. In order to provide a comprehensive comparison, we conducted three sets of experiments, testing effectiveness on different time series datasets from a wide variety of application domains. Experimental evaluations show that the proposed similarity measure can tolerate the most distortions than other three typical similarity;besides, the new classifier is not only superior to other conventional classifier, but also more excellent in 1nn classifier than other similarity measure. © 2013 by Binary Information Press.

关键词： Data mining

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Estimating properties of chaotic system based on S-NURBS resampling method

Estimating properties of chaotic system based on S-NURBS res...

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International Conference on Measurement, Information and Control (MIC)

作者： Chenxi Shao Qingqing Liu Tingting Wang Binghong Wang Anhui Province Key Laboratory of Software in Computing and Communication University of Science and Technology of China Hefei China Computer Science and Technology Department University of Science and Technology of China Hefei China

ISBN: (纸本)9781479913916

Physical properties of the chaotic system play important roles on studying the innate character and deciding the practical predictability of the dynamics. For a short piece of undersampled chaotic signals, it is very hard to abstract the physical properties of the signal source from the sequence. In this paper, we model this type of data with global S-NURBS method to reconstruct a smooth trajectory and resample the trajectory to get enough series. In this way, the problem of estimating the physical properties from small undersampled data is turned to the work of calculating the properties of the resampled time series. The new interpolation method is named as S-NURBS resampling method, and the simulation experiment demonstrates that the new method has a good performance in studying physical systems from the observed time series.

关键词： Time series analysis Interpolation Trajectory Chaos Splines (mathematics) Surface topography Surface reconstruction

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A qualitative modeling and simulation method based on cloud model

A qualitative modeling and simulation method based on cloud ...

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International Conference on Modeling, Simulation and Applied Optimization (ICMSAO)

作者： Chenxi Shao Kelü Sun Zhenzhong Shao Computer Science and Technology Department University of Science and Technology of China Hefei China Anhui Province Key Laboratory of Software in Computing and Communication Hefei China Jianghuai Automobile Company Limited Hefei China

ISBN: (纸本)9781467358125

Qualitative simulation is effective methods processing incomplete knowledge, how to represent qualitative knowledge and reduce spurious behaviors is its research emphasis. Contraposing the limitations of existing methods representing qualitative knowledge and filtering spurious behaviors, an approach is proposed to qualitatively model and simulate on the basis of normal cloud model. In this research, the cloud numeric characteristics and cloud measurement are introduced into this approach; consequently, it can more accurately assess the qualitative knowledge, and expand the variables expression and quantity space; meanwhile, it is constructed the means of modeling and simulation by adopting more amply portraying the system status, more intuitively transforming status and more accurately filtering spurious behaviors. Furthermore, in simulation algorithm, cloud measurement indices are employed to significantly select the successor status which can not be determined by existing constraint means. The results of simulation example demonstrate that our approach effectively improves the ability to filter spurious behaviors, and it is a feasible method.

关键词： Uncertainty Coordinate measuring machines Computational modeling Entropy Measurement uncertainty Numerical models Size measurement

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Stochastic prefix-based fault tolerant source routing algorithm for network on chip

Stochastic prefix-based fault tolerant source routing algori...

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2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World engineering, Science and Technology Congress, ESTCON 2012

作者： Xu, Gengchun Ren, Kaixin Gu, Naijie Anhui Province Key Laboratory of Computing and Communication Software Hefei China USTC-SICT Joint Laboratory on Network and Communication Hefei China School of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9781467319386

In this paper, a novel fault-tolerant source routing algorithm for Network on Chip (NOC) called Stochastic Prefix-based Source Routing (SPSR) is proposed. Compared to non-source routing algorithms, it releases the intermediate node from complicated decision-making or routing table maintenance. Unlike the traditional source routing algorithms which use broadcast packets to record the YD of every intermediate node in Route Discovery, it predetermine prospective routes, which can greatly reduces the packets generated and forwarded in the Route Discovery phase, and therefore reduces the power consumption. The proposed routing algorithm is implemented on the open source simulator Nirgam [14], incorporating Orion [15] to estimate the power consumption. Experiment results show that the proposed algorithm can greatly reduce the power consumption in the route discovery and the latency of SPSR is comparable with that of the broadcasting mechanism. © 2012 IEEE.

关键词： Network-on-chip

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Fault diagnosis design based on qualitative simulation

Fault diagnosis design based on qualitative simulation

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2012 3rd International Conference on Intelligent Control and Information Processing, ICICIP 2012

作者： Shao, Chenxi Shao, Zhenzhong Zhang, Juntao Bai, Fanzhou College of Computer Science and Technology University of Science and Technology of China Hefei 230026 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China Jianghuai Automobile Co. Ltd. Hefei 230022 China

ISBN: (纸本)9781457721427

Based on the QSIM reasoning of Kuipers, comparative constraint is presented to reduce the diagnosis space. The transfer regulation of qualitative constrain is used in the simulation and reasoning of system diagnosis. This arithmetic takes observed faulty state as the beginning, to diagnosis the discrepancy of variable and location of the causation according to the transfer regulation of qualitative constraint, reasons from faulty diagnosed to examine the result and delete the redundancy of diagnosis result. In the example of Condensation refrigeration system, the constraint relation is built according to qualitative difference equation. Aim at the bad efficiency of refrigeration, the mixture of air or Freon superfluously is diagnosed as the result faulty source, is consistent with the factual system. © 2012 IEEE.

关键词： Fault detection

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