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11th International Conference on Field-Programmable Technology (FPT)

作者： Wu, Guiming Xie, Xianghui Dou, Yong Sun, Junqing Wu, Dong Li, Yuan State Key Laboratory of Mathematical Engineering and Advanced Computing China

ISBN: (纸本)9781467328463;9781467328449

Sparse LU decomposition is the core computation in the direct method that solves sparse systems of linear equations. Only little work has been conducted on parallelizing it on FPGAs. In this paper, we study parallelization strategies for sparse LU decomposition on FPGAs. We first analyze how to parallelize the right-looking algorithm and find that this algorithm is not suitable for FPGAs. Then the left-looking algorithm is analyzed and considered as better candidate than the right-looking version. Our design derived from the left-looking algorithm is based on a simple yet efficient parallel computational model for FPGAs. Our design mainly consists of multiple parallel processing elements (PEs). A total of 14 PEs can be integrated into a Xilinx Virtex-5 XC5VLX330. Unlike related work, where their designs are applied to sparse matrices from particular application domains, our hardware design can be applied to any symmetric positive definite or diagonally dominant matrices.

关键词： Sparse matrices Random access memory Algorithm design and analysis Parallel processing Field programmable gate arrays Matrix decomposition Hardware

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Study of the HfO2/SiO2 dichroic laser mirrors having refractive index inhomogeneity

Study of the HfO2/SiO2 dichroic laser mirrors having refract...

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Optical Interference Coatings, OIC 2013

作者： Jiao, Hongfei Cheng, Xinbin Bao, Ganghua Han, Jin Zhang, Jinlong Wang, Zhanshan Trubetskov, M. Tikhonravov, Alexander V. Key laboratory of advanced micro-structure materials Ministry of Education Tongji University Shanghai 200092 China Institute of Precision Optical Engineering School of Physics science and Engineering Tongji University Shanghai 200092 China Max-Planck Institute of Quantum Optics Hans-Kopfermann str. 1 85748 Garching Germany Research Computing Center Moscow State University Leninskie Gory 119992 Moscow Russia

Half-wave-hole problem, mainly caused by refractive index inhomogeneity of hafnia, had greatly influenced the spectra and application of HfO2/SiO2 dichroic laser mirrors. Two approaches to eliminate the half-wave-hole... 详细信息

ISBN: (纸本)9781557529701

关键词： Laser mirrors

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Design of coatings in EUV, soft X-ray and X-ray spectral regions

Design of coatings in EUV, soft X-ray and X-ray spectral reg...

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Optical Interference Coatings, OIC 2013

作者： Tikhonravov, A. Trubetskov, M. Sharapova, S. Wang, Z. Research Computing Center Moscow State University Leninskie Gory 119992 Moscow Russia Max-Planck Institute of Quantum Optics Hans-Kopfermann str. 1 85748 Garching Germany Institute of Precision Optical Engineering Department of Physics Tongji University Shanghai 200092 China Key laboratory of advanced micro-structure materials Ministry of Education Shanghai 200092 China

Approach to solving all types of design problems in spectral regions from X-ray to EUV is presented. It employs the most efficient general design tools and special technique aimed at taking into account interface roug... 详细信息

ISBN: (纸本)9781557529701

关键词： Coatings

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Design of aperiodic multilayers for EUV applications

Design of aperiodic multilayers for EUV applications

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Optical Interference Coatings, OIC 2013

We show that design techniques elaborated for conventional optical coating allow one to design EUV coatings with superior properties. High potential of designs composed of more than two materials is demonstrated. ... 详细信息

ISBN: (纸本)9781557529701

关键词： Optical coatings

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Information Transfer Model of Virtual Machine Based on Storage Covert Channel

Information Transfer Model of Virtual Machine Based on Stora...

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第七届中国可信计算与信息安全学术会议

作者： WANG Xiaorui WANG Qingxian GUO Yudong LU Jianping Fourth Department PLA Information Engineering UniversityZhengzhou 450002HenanChina State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450002HenanChina Department of Communication Command Chongqing Communication InstituteChongqing 400035China

Aiming at the problem that virtual machine information cannot be extracted incompletely, we extend the typical informa tion extraction model of virtual machine and propose a perception mechanism in virtualization system based on storage covert chan nel to overcome the affection of the semantic *** advan tage of undetectability of the covert channel, a secure channel is established between Guest and virtual machine monitor to pass data *** Guest machine can pass the control information of malicious process to virtual machine monitor by using the VMCALL instruction and shared *** parsing critical information in process control structure, virtual machine monitor can terminate the malicious *** test results show that the proposed mechanism can clear the user-level malicious pro grams in the virtual machine effectively and ***,its performance overhead is about the same as that of other main stream monitoring mode.

关键词： virtualization safety protection information extraction of virtual machine covert channel process control structure

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CloudRank-D： benchmarking and ranking cloud computing systems for data processing applications

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Frontiers of Computer Science 2012年第4期6卷 347-362页

作者： Chunjie LUO Jianfeng ZHAN Zhen JIA Lei WANG Gang LU Lixin ZHANG Cheng-Zhong XU Ninghui SUN State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100019China Department of Electrical and Computer Engineering Wayne State UniversityDetroitM148202USA Shenzhenlnstitute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China

With the explosive growth of information, more and more organizations are deploying private cloud systems or renting public cloud systems to process big data. However, there is no existing benchmark suite for evaluating cloud performance on the whole system level. To the best of our knowledge, this paper proposes the first benchmark suite CloudRank-D to benchmark and rank cloud computing sys- tems that are shared for running big data applications. We an- alyze the limitations of previous metrics, e.g., floating point operations, for evaluating a cloud computing system, and propose two simple metrics： data processed per second and data processed per Joule as two complementary metrics for evaluating cloud computing systems. We detail the design of CloudRank-D that considers representative applications, di- versity of data characteristics, and dynamic behaviors of both applications and system software platforms. Through experi- ments, we demonstrate the advantages of our proposed met- tics. In several case studies, we evaluate two small-scale de- ployments of cloud computing systems using CloudRank-D.

关键词： data center systems clouds big data applica- tions benchmarks evaluation metrics

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Recent advances on apposition compound eye cameras

Recent advances on apposition compound eye cameras

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CLEO: Applications and Technology, CLEO_AT 2013

作者： Song, Y.M. Xie, Y. Malyarchuk, V. Xiao, J. Jung, I. Choi, K.-J. Liu, Z. Park, H. Lu, C. Kim, R.-H. Li, R. Crozier, K.B. Huang, Y. Rogers, J.A. Department of Materials Science and Engineering Beckman Institute for Advanced Science and Technology Frederick Seitz Materials Research Laboratory and University of Illinois at Urbana-Champaign Urbana IL 61801 United States Department of Mechanical Engineering University of Colorado at Boulder Boulder CO 80309 United States Department of Mechanical Engineering Kyung Hee University Yongin-si Gyeonggi-do 446-701 Korea Republic of Department of Chemistry University of Illinois at Urbana-Champaign Urbana IL 61801 United States Institute of High Performance Computing A star 1 Fusionopolis Way #16-16 Connexis 138632 Singapore School of Engineering and Applied Sciences Harvard University Cambridge MA 02138 United States Department of Civil Engineering and Soft Matter Research Center Zhejiang University Hangzhou 310058 China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian 116024 China Department of Mechanical Engineering Northwestern University Evanston IL 60208 United States

This work presents digital cameras that resemble, both structurally and functionally, apposition-type compound eyes of daylight insect. Hemispherical imagers with 180 artificial ommatidia yield 160 degree field of vie... 详细信息

ISBN: (纸本)9781557529725

关键词： Fiber optics

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CloudLCA: finding the lowest common ancestor in metagenome analysis using cloud computing

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Protein & Cell 2012年第2期3卷 148-152页

作者： Guoguang Zhao Dechao Bu Changning Liu Jing Li Jian Yang Zhiyong Liu Yi Zhao Runsheng Chen Bioinformatics Research Group Key Laboratory of Intelligent Information ProcessingAdvanced Computing Research LaboratoryInstitute of Computing TechnologyChinese Academy of SciencesBeijing 100190China Bioinformatics Laboratory and National Laboratory of Biomacromolecules Institute of BiophysicsChinese Academy of SciencesBeijing 100101China State Key Laboratory for Molecular Virology and Genetic Engineering National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 100176China Graduate School of the Chinese Academy of Sciences Beijing 100190China

Estimating taxonomic content constitutes a key problem in metagenomic sequencing data ***,extracting such content from high-throughput data of next-generation sequencing is very time-consuming with the currently available ***,we present CloudLCA,a parallel LCA algorithm that significantly improves the efficiency of determining taxonomic composition in metagenomic data *** show that CloudLCA(1)has a running time nearly linear with the increase of dataset magnitude,(2)displays linear speedup as the number of processors grows,especially for large datasets,and(3)reaches a speed of nearly 215 million reads each minute on a cluster with ten thin *** comparison with MEGAN,a well-known metagenome analyzer,the speed of CloudLCA is up to 5 more times faster,and its peak memory usage is approximately 18.5%that of MEGAN,running on a fat *** can be run on one multiprocessor node or a *** is expected to be part of MEGAN to accelerate analyzing reads,with the same output generated as MEGAN,which can be import into MEGAN in a direct way to finish the following ***,CloudLCA is a universal solution for finding the lowest common ancestor,and it can be applied in other fields requiring an LCA algorithm.

关键词： CloudLCA metagenome analysis cloud computing

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Differently implicational α-universal triple I restriction method of (1, 2, 2) type

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Journal of Systems engineering and Electronics 2012年第4期23卷 560-573页

作者： Yiming Tang Fuji Ren Yanxiang Chen Information and Communication Engineering Postdoctoral Research Station Hefei University of TechnologyHefei 230009P.R.China State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijing 100191P.R.China Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of TechnologyHefei 230009P.R.China Institute of Technology and Science The University of TokushimaMinami Josanjima770-8506Japan

From the viewpoints of both fuzzy system and fuzzy reasoning, a new fuzzy reasoning method which contains the α- triple I restriction method as its particular case is proposed. The previous α-triple I restriction principles are improved, and then the optimal restriction solutions of this new method are achieved, especially for seven familiar implications. As its special case, the corresponding results of α-triple I restriction method are obtained and improved. Lastly, it is found by examples that this new method is more reasonable than the α-triple I restriction method.

关键词： fuzzy reasoning fuzzy system triple I method triple Irestriction method compositional rule of inference method.

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1p3/2 Proton-Hole state in Sn132 and the Shell Structure Along N=82

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Physical Review Letters 2014年第13期112卷 132501-132501页

作者： J. Taprogge A. Jungclaus H. Grawe S. Nishimura P. Doornenbal G. Lorusso G. S. Simpson P.-A. Söderström T. Sumikama Z. Y. Xu H. Baba F. Browne N. Fukuda R. Gernhäuser G. Gey N. Inabe T. Isobe H. S. Jung D. Kameda G. D. Kim Y.-K. Kim I. Kojouharov T. Kubo N. Kurz Y. K. Kwon Z. Li H. Sakurai H. Schaffner K. Steiger H. Suzuki H. Takeda Zs. Vajta H. Watanabe J. Wu A. Yagi K. Yoshinaga G. Benzoni S. Bönig K. Y. Chae L. Coraggio A. Covello J.-M. Daugas F. Drouet A. Gadea A. Gargano S. Ilieva F. G. Kondev T. Kröll G. J. Lane A. Montaner-Pizá K. Moschner D. Mücher F. Naqvi M. Niikura H. Nishibata A. Odahara R. Orlandi Z. Patel Zs. Podolyák A. Wendt Instituto de Estructura de la Materia CSIC E-28006 Madrid Spain Departamento de Física Teórica Universidad Autónoma de Madrid E-28049 Madrid Spain RIKEN Nishina Center RIKEN 2-1 Hirosawa Wako-shi Saitama 351-0198 Japan GSI Helmholtzzentrum für Schwerionenforschung GmbH 64291 Darmstadt Germany LPSC Université Joseph Fourier Grenoble 1 CNRS/IN2P3 Institut National Polytechnique de Grenoble F-38026 Grenoble Cedex France Department of Physics Tohoku University Aoba Sendai Miyagi 980-8578 Japan Department of Physics University of Tokyo Hongo 7-3-1 Bunkyo-ku 113-0033 Tokyo Japan School of Computing Engineering and Mathematics University of Brighton Brighton BN2 4JG United Kingdom Physik Department E12 Technische Universität München D-85748 Garching Germany Institut Laue-Langevin B.P. 156 F-38042 Grenoble Cedex 9 France Department of Physics Chung-Ang University Seoul 156-756 Republic of Korea Rare Isotope Science Project Institute for Basic Science Daejeon 305-811 Republic of Korea Department of Nuclear Engineering Hanyang University Seoul 133-791 Republic of Korea School of Physics and State key Laboratory of Nuclear Physics and Technology Peking University Beijing 100871 China MTA Atomki P.O. Box 51 Debrecen H-4001 Hungary Department of Physics Osaka University Machikaneyama-machi 1-1 Osaka 560-0043 Toyonaka Japan Department of Physics Faculty of Science and Technology Tokyo University of Science 2641 Yamazaki Noda Chiba Japan INFN Sezione di Milano via Celoria 16 I-20133 Milano Italy Institut für Kernphysik Technische Universität Darmstadt D-64289 Darmstadt Germany Department of Physics Sungkyunkwan University Suwon 440-746 Republic of Korea Istituto Nazionale di Fisica Nucleare Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy Dipartimento di Fisica Università di Napoli Federico II Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy CEA DAM DIF 91297 Arpajon cedex France Instituto de Fsica Corpuscular CSIC

A low-lying state in In82131, the one-proton hole nucleus with respect to double magic Sn132, was observed by its γ decay to the Iπ=1/2− β-emitting isomer. We identify the new state at an excitation energy of Ex=1353 keV, which was populated both in the β decay of Cd13183 and after β-delayed neutron emission from Cd13284, as the previously unknown πp3/2 single-hole state with respect to the Sn132 core. Exploiting this crucial new experimental information, shell-model calculations were performed to study the structure of experimentally inaccessible N=82 isotones below Sn132. The results evidence a surprising absence of proton subshell closures along the chain of N=82 isotones. The consequences of this finding for the evolution of the N=82 shell gap along the r-process path are discussed.

关键词： PROTONS PROTON decay EXCITATION energy (In situ microanalysis) NEUTRON emission PARTICLE decays

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