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International Conference on computer and Information science (ACIS)

作者： Jiandun Li Wu Zhang Junjie Peng Zhou Lei Yu Lei School of Computer Engineering & Science High Performance Computing Center Shanghai University Shanghai China Department of Computer Science & Engineering University of Texas Arlington Arlington USA

The Copenhagen climate conference 2009 has concluded that we have to change the way how we live. Currently, several carbon management systems are being developed to meet enterprises' requirement. In addition, a number of carbon footprint calculation tools have been developed to fulfill carbon calculation needs from industries, households and individuals. However, under the current circumstance, it is still a challenging issue on how to take advantage of the latest IT technologies to improve carbon calculations with comprehensive functionality. In this paper, we extend carbon 2.0, the concept proposed by previous studies, and introduce a new carbon framework based on cloud computing. This new framework is massively scalable and can configure and deliver carbon-related services dynamically and on demand. Moreover, it is a real low-carbon framework itself!

关键词： Carbon Carbon dioxide Cloud computing Companies Decision making computer architecture

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Designing topology-aware collective communication algorithms for large scale InfiniBand clusters: Case studies with Scatter and Gather

Designing topology-aware collective communication algorithms...

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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Krishna Kandalla Hari Subramoni Abhinav Vishnu Dhabaleswar K. Panda Department of Computer Science and Engineering Ohio State Uinversity USA High Performance Computing Group Ohio State Uinversity USA

ISBN: (纸本)9781424465330

Modern high performance computing systems are being increasingly deployed in a hierarchical fashion with multi-core computing platforms forming the base of the hierarchy. These systems are usually comprised of multiple racks, with each rack consisting of a finite number of chassis, and each chassis having multiple compute nodes or blades, based on multi-core architectures. The networks are also hierarchical with multiple levels of switches. Message exchange operations between processes that belong to different racks involve multiple hops across different switches and this directly affects the performance of collective operations. In this paper, we take on the challenges involved in detecting the topology of large scale InfiniBand clusters and leveraging this knowledge to design efficient topology-aware algorithms for collective operations. We also propose a communication model to analyze the communication costs involved in collective operations on large scale supercomputing systems. We have analyzed the performance characteristics of two collectives, MPI_Gather and MPI_Scatter, on such systems and we have proposed topology-aware algorithms for these operations. Our experimental results have shown that the proposed algorithms can improve the performance of these collective operations by almost 54% at the micro-benchmark level.

关键词： Algorithm design and analysis Clustering algorithms Large-scale systems Scattering high performance computing Switches Blades computer architecture Communication switching Network topology

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Stretchable Solar Cells: Stretchable GaAs Photovoltaics with Designs That Enable high Areal Coverage (Adv. Mater. 8/2011)

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Advanced Materials 2011年第8期23卷

作者： Jongho Lee Jian Wu Mingxing Shi Jongseung Yoon Sang‐Il Park Ming Li Zhuangjian Liu Yonggang Huang John A. Rogers Department of Materials Science and Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana Illinois 61801 USA Department of Civil and Environmental Engineering Northwestern University Evanston IL 60208 USA Institute of High Performance Computing Singapore 138631 Singapore Department of Engineering Mechanics Dalian University of Technology Dalian 116024 China Departments of Civil and Environmental Engineering and Mechanical Engineering Northwestern University Evanston Illinois 60208 USA Department of Materials Science and Engineering Chemistry Mechanical Science and Engineering Electrical and Computer Engineering Beckman Institute for Advanced Science and Technology and Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana Illinois 61801 USA

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Memory access mechanism in embedded real-time Java processor

Memory access mechanism in embedded real-time Java processor

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International Conference on computer and Automation engineering, ICCAE

作者： Guang Hu Zhilei Chai Shiliang Tu Department of Computer Science and Engineering Department of Computer Science Shanghai International Studies University Shanghai China Center of Intelligent and High Performance Computing School of Information Technology Jiangnan University Wuxi China Department of Computer Science and Engineering Fudan University Shanghai China

ISBN: (纸本)9781424455690

Currently, Java has been gradually applied in such areas as robotics, industrial control, and other embedded real-time applications owning to its advantages like platform independence, robustness, security, etc. In order to improve the performance of Java's execution engine for embedded real-time applications, an embedded real-time Java processor JPOR-32 (32-bit Java Processor Optimized for RTSJ) is designed. In this paper, the memory access mechanism of JPOR-32 is presented. In JPOR-32, the optimized memory organization structure is designed to implement the runtime data areas of the Java virtual machine (JVM). Based on it, with the preprocessing operation, the memory access instructions optimization is implemented as well. The preprocessing operation enables the JVM's runtime operations involving dynamic loading, verification, preparation, resolution, etc. to be handled in advance. It not only provides an efficient and convenient way to implement memory access, but also makes the contribution to the WCET predictability. As to the memory management, in accordance with the Real-Time Specification for Java (RTSJ), garbage collection (GC) is not allowed in the immortal memory as well as the scoped memory, and in the heap, JPOR-32 adopts improved GC scheme suitable for embedded real-time Java environment. Besides, with the architectural support of the pipelined datapath, JPOR-32 provides effective supports for efficient and predictable memory access.

关键词： Java Memory management Design optimization Runtime Service robots Industrial control Robust control Security Engines Virtual machining

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Single pattern search implementations in a cluster computing environment

Single pattern search implementations in a cluster computing...

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Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST

作者： J C Prasad K.S.M. Panicker Department of Computer Science and Engineering Federal Institute of Science and Technology MGR University Chennai Angamaly India Centre of High Performance Computing Federal Institute of Science and Technology Angamaly India

This paper provides an overview of different string matching algorithms in parallel environments. In this work, we have evaluated several algorithms, such as Knuth-Morris-Pratt, Boyer-Moore algorithm, Boyer Moore Horspool Algorithm, Zhu Takaoka algorithm, Quick Search Algorithm, BR Algorithm, Fast Searching algorithm, SSABS algorithm, TVSBS algorithm, ZTMBH algorithm and BRBMH algorithm. Static pattern of string matching algorithms are widely used for searching. For comparisons of speed different algorithms are implemented with parallel programming technique of MPI Standard, for a large text file with a pattern of small length. A Beowulf based homogenous cluster architecture was developed which has a performance of 81 Gigabits floating point operations per second in searching environment. The result of pattern searching showed the variation of performance with this customized cluster architecture for variable number of compute nodes with different pattern lengths. Nearly 80% of the searching code part works in parallel. The performance of string search algorithm is based on the network bandwidth and the selection of algorithms used. Depending on certain applications, different algorithm can be used. It is observed that the cluster searching architecture provides better speed with different algorithms. In general, from the experiments, BRBMH Algorithm is found to be efficient for a general string searching applications.

关键词： Clustering algorithms Signal processing algorithms Algorithm design and analysis computer architecture Complexity theory Program processors Software algorithms

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Submesh allocation in heterogeneous chip multiprocessors

Submesh allocation in heterogeneous chip multiprocessors

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Qi Zuo Jing Qiu High Performance Embedded Computing Library School of Computer Science and Technology Beijing Institute of Technology Beijing China Department of information science and engineering Hebei University of Science and Technology Shijiazhuang China

Lots of submesh allocation strategies are devised in mesh connected computers. In chip multiprocessors connected by network on chip, submesh allocation is also used to allocate processors. Existing research mainly focuses on fragmentation, system performance and algorithmic complexity. The processors are assumed to be homogeneous, and the representation of them only reflects the state of processors usage, free or allocated. However, heterogeneous cores have been widely adopted in modern chip multiprocessors to better support the different computation needs. Therefore, the submesh allocation should be re-designed to reflect the difference between cores in heterogeneous chip multiprocessors. In this paper, a simple submesh allocation strategy based on processor array is presented. The strategy represents the heterogeneous processors by computing power array and usage bitmap. The jobs are represented by needed computing power array. A constrained first fit algorithm is devised to map jobs to the chip multiprocessors.

关键词： Resource management Arrays computers Algorithm design and analysis Instruction sets Machine learning

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Towards Garbage Collection Mechanism for RTSJ-Oriented Embedded Java Processor

Towards Garbage Collection Mechanism for RTSJ-Oriented Embed...

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International Conference on computer and Information Technology (CIT)

作者： Guang Hu Zhilei Chai Wenke Zhao Shiliang Tu Department of Computer Science Department of Computer Science and Engineering Fudan University Shanghai China Center of Intelligent and High Performance Computing School of Information Technology Jiangnan University Wuxi China Siemens Corporate Technology Beijing China Department of Computer Science and Engineering Fudan University Shanghai China

Currently, Java has been gradually applied in embedded real-time area with the improvement by the Real-Time Specification for Java (RTSJ). Accordingly, a hardware Java execution engine for embedded real-time applications, JPOR-32 (32-bit Java Processor Optimized for RTSJ), is designed. Taking JPOR-32 for an example, this paper presents the garbage collection mechanism for RTSJ-oriented embedded processor in detail. JPOR-32 provides effective architectural support for garbage collection. And the object reference format of JPOR-32 provides supports for objects tracing and heap scanning. The support for write barrier of real-time concurrent GC is also performed. Moreover, JPOR-32 provides optimized instruction level support for garbage collection. In addition, different garbage collection algorithms are compared on the base of the resource-constrained feature and the real-time requirement of the processor, and the hybrid garbage collectors are suggested.

关键词： Java Real time systems Resource management Registers Memory management Loading Head

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A Network Management System Based on DPI

A Network Management System Based on DPI

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International Conference on Network-Based Information Systems (NBIS)

作者： Chu-Sing Yang Ming-Yi Liao Mon-Yen Luo Shin-Min Wang C. Eugene Yeh Institute of Computer and Communication Engineering Department of Electrical Engineering National Cheng Kung University Taiwan Department of Computer Science and Information Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan National Center of High-Performance Computing Taiwan

More and more network applications have appeared in recent years. Government, university, industry and individual Internet users and network services need more bandwidth and various network applications. Many new network protocols are proposed so that it is now becoming harder to manage the network. In the conditional network, every network protocol uses the fixed port, the so-called well-known port number. In the past, it was easy to classify and manage the network traffic because we could identify the network service by the port number. However, new types of network applications do not use fixed port number. The method of traffic classification with fixed port number is inadequate. In recent years, the DPI (Deep Packet Inspection) is used to classify the traffic. This study deploys a NMS (network management system) based on DPI and SNMP. The NMS controls the network devices and services according to the traffic classification of DPIS (DPI server). The platform of DPIS is implemented on the Netfilter framework in Linux kernel.

关键词： Linux Servers Kernel Switches Protocols Inspection Sockets

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Ontology-based intelligent system for malware behavioral analysis

Ontology-based intelligent system for malware behavioral ana...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Hsien-Der Huang Tsung-Yen Chuang Yi-Lang Tsai Chang-Shing Lee National Applied Research Laboratories National Center for High Performance Computing Tainan Taiwan Department of Information and Learning Technology National University of Tainan Tainan Taiwan Department of Computer Science and Information Engineering National University of Tainan Tainan Taiwan

This paper proposes an ontology-based intelligent system for malware behavioral analysis. The design background and structure of the Taiwan Malware Analysis Net (TWMAN) are presented to analyze the malware behavior. The TWMAN is composed of the malware behavioral analysis agent and the ontology agent. All of the essential information of the TWMAN, including the malware behavioral ontology, which is store in an ontology repository. The malware behavioral analysis agent collects the malware behavioral information to build malware behavioral ontology and malware behavioral rules. The results from the system logs show that the TWMAN can work effectively based on the malware behavioral analysis to protect the computers from the attack of computer viruses and Trojans.

关键词： Ontologies Internet Analytical models Malware

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An integrated computing environment for bio-molecular networks

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Journal of Convergence Information Technology 2010年第4期5卷

作者： Xie, Jiang Mao, Guoyong Zhang, Shilin Zhang, Wu School of Computer Engineering and Science Shanghai University Shanghai 200072 China Institute of Systems Biology Shanghai University Shanghai 200444 China Changzhou Key lab for Research and Application of Software Technology Changzhou 213002 China High Performance Computing Center Shanghai University Shanghai 200072 China

With the development of systems biology, more and more researchers focus on the study of bio-molecular networks. In recent years, researchers in different fields have accumulated a large number of biological experimental data and algorithms for analysis and calculation of bio-molecular networks, but these data and methods are relatively independent, difficult to be utilized by biologists. Based on PSE-Bio, a problem solving environment for bioinformatics, this paper describes an integrated computing environment for bio-molecular networks in order to achieve molecular homology analysis, bio-molecular network building, querying, statistics and visualization.

关键词： Bioinformatics

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