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IEEE International Conference on Cluster Computing

作者： Qiang Li Panyong Zhang Ninghui Sun Chinese Academy and Sciences China Chinese Academy of Sciences Beijing Beijing CN National Research Center of Intelligent Computing Systems Institute of Computing Technology Key Laboratory of Computer System and Architecture Chinese Academy and Sciences China

Heterogeneity is considered as a solution for supercomputers to scale to petascale. Many systems which are composed of general CPUs and special processing units such as Cells, GPGPUs and FPGAs have been implemented. In these systems, CPU needs interact with special processing units to process data together, thus communications between these heterogeneous processing units become a key problem, and the communication subsytem should provide low latency and high bandwidth. In this paper, we propose HPP-Controller, which is designed for connecting two different types of CPUs (AMD and Loongson) in one node. It connects heterogeneous CPUs on top of no-coherent HyperTransport (HT) fabric and supports Global Physical Address Space. We implement a FPGA-based prototype and evaluate it via experiments. Initial results show that HPP-Controller has low latency of 0.75 us and high bandwidth close to bandwith of HT links.

关键词： Joining processes Central Processing Unit Delay Bandwidth Supercomputers Petascale computing Control systems Field programmable gate arrays Access protocols Sun

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MemoryIO: An Extended I/O Technology in Embedded systems

MemoryIO: An Extended I/O Technology in Embedded Systems

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International Conference on Networking, architecture, and Storage (NAS)

作者： Xiaojun Yang Tao Liu Fei Chen Hailiang Cheng National Research Center for Intelligent Computing Systems Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy and Sciences China Graduate University of Advanced Studies (SOKENDAI) Beijing China Key Laboratory of Computer System and Architecture Institute of Computing TechnologyNational Research Center for Intelligent Computing Systems Chinese Academy and Sciences China

MemoryIO, a sort of extended I/O in embedded systems, is presented in this paper. MemoryIO makes it powerful for embedded systems to achieve the high-performance interconnect. In view of the facts that the main memory system is absolutely necessary in any embedded system, and not all embedded systems integrate HyperTransport (HT), PCI Express or RapidIO interface, the MemoryIO based interconnect in embedded systems has more universalities compared with that based on HT, PCI Express or RapidIO. MemoryIO can not only thoroughly compensates for the lack of high performance data transfer channel, but also efficiently utilizes the memory bus bandwidth and the direct memory access (DMA) engine to reduce the latency for data transfer in embedded systems. This paper discusses some key technologies of MemoryIO, and presents its application in DCNet and the implementation of MemoryIO IP core. The MemoryIO technology can be used in various systems, but not limited to embedded systems.

关键词： Embedded system Payloads Switches Clocks Storage area networks Physical layer Protocols

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A service-oriented priority-based resource scheduling scheme for virtualized utility computing 08

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Proceedings of the 15th international conference on High performance computing

作者： Ying Song Yaqiong Li Hui Wang Yufang Zhang Binquan Feng Hongyong Zang Yuzhong Sun Key Lab. of Computer System and Architecture Inst. of Computing Techn. Chinese Academy of Sciences China and National Research Center for Intelligent Computing Systems ICT China and Graduate Univ. of Chinese Academy of Sciences China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences China and National Research Center for Intelligent Computing Systems ICT China

ISBN: (纸本)9783540898931

In order to provide high resource utilization and QoS assurance inutility computing hosting concurrently various services, this paper proposes aservice computing framework-RAINBOW for VM(Virtual Machine)-basedutility computing. In RAINBOW, we present a priority-based resourcescheduling scheme including resource flowing algorithms (RFaVM) to optimizeresource allocations amongst services. The principle of RFaVM is preferentiallyensuring performance of some critical services by degrading of others to someextent when resource competition arises. Based on our prototype, we evaluateRAINBOW and RFaVM. The experimental results show that RAINBOWwithout RFaVM provides 28%-324% improvements in service performance,and 26% higher the average CPU utilization than traditional service computingframework (TSF) in typical enterprise environment. RAINBOW with RFaVMfurther improves performance by 25%-42% for those critical services whileonly introducing up to 7% performance degradation to others, with 2%-8%more improvements in resource utilization than RAINBOW without RFaVM.

关键词： resource scheduling utility computing virtualization

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Reports of the AAAI 2008 Spring Symposia

Reports of the AAAI 2008 Spring Symposia

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作者： Balduccini, Marcello Baral, Chitta Brodaric, Boyan Colton, Simon Fox, Peter Gutelius, David Hinkelman, Knut Horswill, Ian Huberman, Bernardo Hudlicka, Eva Lerman, Kristina Lisetti, Christine McGuinness, Deborah Maher, Mary Lou Musen, Mark A. Sahami, Mehran Sleeman, Derek Thönssen, Barbara Velasquez, Juan Ventura, Dan Eastman Kodak Company Arizona State University Tempe AZ United States Geological Survey of Canada Department of Computing Imperial College London United Kingdom National Center for Atmospheric Research Artificial Intelligence Center SRI International Menlo Park CA United States University of Applied Sciences Zurich Switzerland Department of Computer Science Northwestern University Evanston IL United States Social Computing Lab. Hewlett-Packard Laboratories Psychometric Associates USC Information Sciences Institute University of Southern California Los Angeles CA United States Computer Science Department University of Southern California Los Angeles CA United States School of Computing and Information Sciences Florida International University Miami FL United States Rensselaer Polytechnic Institute Information and Intelligent Systems Division National Science Foundation University of Sydney Sydney NSW Australia Faculty of Architecture Design and Planning University of Sydney Sydney NSW Australia Department of Medicine Biomedica Informatics Research Department Stanford University Stanford CA United States Computer Science Department Stanford University Stanford CA United States Department of Computing Science University of Aberdeen Aberdeen United Kingdom MIT CSAIL Department of Computer Science Brigham Young University Provo UT United States

The Association for the Advancement of Artificial Intelligence (AAAI) was pleased to present the AAAI 2008 Spring Symposium Series, held Wednesday through Friday, March 26-28, 2008, at Stanford University, California. The eight symposia were titled (1) AI Meets Business Rules and Process Management, (2) architectures for intelligent Theory-Based Agents, (3) Creative intelligent systems, (4) Emotion, Personality, and Social Behavior, (5) Semantic Scientific Knowledge Integration, (6) Social Information Processing, (7) Symbiotic Relationships between Semantic Web and Knowledge Engineering, (8) Using Al to Motivate Greater Participation in computer Science. The goal of the AI Meets Business Rules and Process Management AAAI symposium was to investigate the various approaches and standards to represent business rules, business process management, and the semantic web with respect to expressiveness and reasoning capabilities. The focus of the architectures ror intelligent Theory-Based Agents AAAI symposium was the definition or architectures for intelligent theory-based agents, comprising languages, knowledge representation methodologies, reasoning algorithms, and control loops. The Creative intelligent systems symposium included five major discussion sessions and a general poster session (in which all contributing papers were presented). The purpose of this symposium was to explore the synergies between creative cognition and intelligent systems. The goal of the Emotion, Personality, and Social Behavior symposium was to examine fundamental issues in affect and personality in both biological and artificial agents, focusing on the roles of these factors in mediating social behavior. The Semantic Scientific Knowledge Integration symposium brought together the semantic technologies community with the scientific information technology community in an effort to build the general semantic science information community. The Social Information Processing symposium's goal was to

关键词： Knowledge representation

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Protein structure superposition by curve moment invariants and iterative closest point

Protein structure superposition by curve moment invariants a...

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2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Xu, Dong Li, Hua Gu, Tongjun Key Laboratory of Intelligent Information Processing Key Laboratory of Computer System and Architecture National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Center for Systems Biology Institute of Biophysics Chinese Academy of Sciences Graduate University Chinese Academy of Sciences

ISBN: (纸本)1424411203

Superimpose one protein tertiary structure to another can help to find similarity between them and further identify functional and evolutionary relationships. We first extract invariant features under rigid body transformation for each protein backbone which is represented by alpha-carbons of all the residues. Then, the invariant features are embedded with Iterative Closest Point algorithm for superposition. With several initialized orientations, pairwise alignment can be achieved accurately only by few iterations. Experiments indicate that our proposed algorithm is competitive with several well-known algorithms and with smallest root mean squared distance. © 2007 IEEE.

关键词： Proteins

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Common substructure extraction of proteins by geometric invariants

Common substructure extraction of proteins by geometric inva...

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10th International Conference on computer-Aided Design and computer Graphics

作者： Xu, Dong Li, Hua Gu, Tongjun Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Center for Systems Biology Institute of Biophysics Chinese Academy of Sciences Graduate University Chinese Academy of Sciences

ISBN: (纸本)9781424415786

Structure alignment could help to find shape similarities between proteins and guide structure classification and fold recognition. Common substructure detection and extraction are especially important, for which could guide the biologist to discover binding site or active site. We represent each segment of alpha-carbon backbone by using dihedral angles and curve moment invariants. Then, local and global structure alignment could be performed by iterative closest point algorithm. Maximum common substructures between a pair of proteins or within a protein could be found. Active sites also could be detected by the proposed algorithm.

关键词： Proteins

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cco-exist with other services on a VM-based virtualized computing platform?

cco-exist with other services on a VM-based virtualized comp...

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2007 Asian Technology Information Program's (ATIP's) 3rd Workshop on High Performance Computing in China - Solution Approaches to Impediments for High Performance Computing, CHINA HPC'07

作者： Song, Ying Wang, Hui Li, Yaqiong Sun, Yuzhong Zeng, Yu Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China National Research Center for Intelligent Computing Systems ICT Beijing 100080 China Graduate University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9781595939036

Trend towards providing heterogeneous services concurrently by ISPs and low utilization of servers make it necessary to consolidate various services computing into a single platform. In such a shared environment, meeting application-level QoS goals and avoiding interaction among services become challenges as each application consumes different amount of resource and requires different QoS. Video-on-demand (VoD) has been identified as an important application among multimedia services. In this paper, we study a case of interaction among services concurrently running on a virtualized computing environment. The contributions of this paper are follows. 1) We design a novel capability service computing framework for service computing consolidation (CSCF) to study the interaction among concurrent services in a VM-Based Virtualized Computing Environment;2) A dynamic and lazy memory flowing algorithm (DLMFaVM) among VMs is proposed to partially fulfill this computing model by resource flowing;3) We also develop a virtualized computing platform to study the possibility of service computing consolidation;4) We analyze the interaction among VoD service and other typical enterprise services in our capability service computing environment and draw a conclusion that the VoD streaming service co-existing with other services on a VM-based virtualized computing platform is a trend for ISPs. But it presents some challenges for the designers of service soft and the designers of service computing platform. Copyright 2007 ACM.

关键词： Video on demand

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Design of NIC Based on I/O Processor for Cluster Interconnect Network

Design of NIC Based on I/O Processor for Cluster Interconnec...

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International Conference on Networking, architecture, and Storage (NAS)

作者： Xiaojun Yang Dongdong Wu Ninghui Sun National Research Center for Intelligent Computing Systems Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy and Sciences Beijing China

An effective interconnect network interface card (NIC) is critical to the achievement of a high-performance cluster system. An original NIC architecture based on the Intel IOP310 I/O processor chipset is presented in this paper. The NIC is a part of DCNet, which is the cluster interconnect network developed by NCIC. The I/O processor makes it powerful for the NIC to offload the processing of communication protocol from the host CPU. In the NIC architecture, the memory bus is extended to be a local bus for system peripheral interconnection, and a memory integrated network interface (MINI) is implemented and embedded. The testing results of DCNet show that the NIC obtains reasonable user-level communication performance, and prove that the NIC architecture, which based on I/O processor and the MINI approach, is feasible and effective to achieve the high performance.

关键词： computer architecture computer networks Network interfaces Supercomputers Bandwidth intelligent systems intelligent networks computer interfaces Power system interconnection Protocols

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Shape Analysis of Volume Models by Euclidean Distance Transform and Moment Invariants

Shape Analysis of Volume Models by Euclidean Distance Transf...

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10th IEEE International Conference on computer Aided Design and computer Graphics(第十届CAO/Graphics国际会议)

作者： Dong Xu Hua Li Key Laboratory of Intelligent Information Processing Key Laboratory of Computer System and Architecture National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Graduate University of Chinese

In this paper,volume models are obtained from closed surface models by an accurate voxelization method which can handle the hidden cavities. This kind of 3D binary images is then converted to gray-level images by a fast Euclidean distance transform (EDT).Moment invariants (MIs) which are invariant shape descriptors under similarity transformations,are then computed based on the gray images. Applications in shape analysis area such as principal axis determination,skeleton and medial axis extraction,and shape retrieval can be carried out base on EDT and MIs.

关键词： Shape Euclidean distance Skeleton Principal component analysis Laboratories Image converters Data mining Computed tomography Clouds Iterative closest point algorithm

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3-D projective moment invariants

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Journal of Information and Computational Science 2007年第2期4卷 821-828页

作者： Xu, Dong Li, Hua Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acad. of Sci. Beijing 100080 China Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Acad. of Sci. Beijing 100080 China National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Acad. of Sci. Beijing 100080 China Graduate University Chinese Acad. of Sci. Beijing 100080 China

2-D projective moment invariants were firstly proposed by Suk and Flusser in [12]. We point out here that there is a useless projective moment invariant which is equivalent to zero in their paper. 3-D projective moment invariants are generated theoretically by investigating the property of signed volume of a tetrahedron. The main part is the selection of permutation invariant cores for multiple integrals to generate independent and nonzero 3-D projective moment invariants. We give the conclusion that projective moment invariants don't exist strictly speaking because of their convergence problem.

关键词： computer vision

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