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A survey of cloud resource management for complex engineering applications

Frontiers of computer science 2016年第3期10卷 447-461页

作者： Haibao CHEN Song WU Hai JIN Wenguang CHEN Jidong ZHAI Yingwei LUO Xiaolin WANG Services Computing Technology and System Lab Cluster and Grid Computing LabSchool of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China Institute of High Performance Computing Tsinghua University Beijing 100084 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China School of Computer and Information Engineering Chuzhou University Chuzhou 239000 China

Traditionally, complex engineering applications （CEAs）, which consist of numerous components （software） and require a large amount of computing resources, usu- ally run in dedicated clusters or high performance computing （HPC） centers. Nowadays, Cloud computing system with the ability of providing massive computing resources and cus- tomizable execution environment is becoming an attractive option for CEAs. As a new type on Cloud applications, CEA also brings the challenges of dealing with Cloud resources. In this paper, we provide a comprehensive survey of Cloud resource management research for CEAs. The survey puts forward two important questions： 1） what are the main chal- lenges for CEAs to run in Clouds？ and 2） what are the prior research topics addressing these challenges？ We summarize and highlight the main challenges and prior research topics. Our work can be probably helpful to those scientists and en- gineers who are interested in running CEAs in Cloud envi- ronment.

关键词： Cloud computing complex engineering application resource management virtualization

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On construction of a BioGrid platform for parallel bioinformatics applications

Proceedings of the ACM Symposium on Applied Computing

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Proceedings of the ACM Symposium on Applied computing 2007年 144-145页

作者： Yang, Chao-Tung Han, Tsu-Fen Kan, Heng-Chuan High Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Southern Business Unit National Center for High-performance Computing Hsinshi Tainan County 74147 Taiwan

ISBN: (纸本)1595934804;9781595934802

In this paper, we report on implementing an experimental distributed computing application for bioinformatics consisting of basic high-performance computing environments (Grid and PC Cluster systems), multiple interfaces at user portals that provide useful graphical interfaces to enable biologists who are not IT specialists to benefit directly from the use of high-performance technology. Copyright 2007 ACM.

关键词： Bioinformatics

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Using spatial correlations in distributed video coding

Using spatial correlations in distributed video coding

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International Symposium on Artificial Intelligence and Signal Processing

作者： Fathy, Mahmood Haqqani, Mohammad High Performance Computing Lab. Computer Engineering Department Iran University of Science and Technology Tehran Iran

ISBN: (纸本)9781424498345

Distributed video coding (DVC) is a new paradigm of coding that makes very interest to itself in the past decade. It's usually based on temporal correlations between successive frames which are called key frames. But this approach failed for high object motion in a scene and need very complex decoder to cover it. In this paper we propose a novel technique to use spatial correlation instead of temporal correlation in a frame by dividing a single frame to two sub frames which one of them is used as a key frame for generate side information at the decoder. Simulation results show a significant improvement on rate distortion parameter in DVC schema. © 2011 IEEE.

关键词： Decoding

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performance evaluation of container-based high performance computing ecosystem using OpenPOWER 32nd

Performance evaluation of container-based high performance c...

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32nd International Conference on high performance computing, ISC high performance 2017

作者： Kuity, Animesh Peddoju, Sateesh Kumar High Performance Computing Lab Department of Computer Science and Engineering Indian Institute of Technology Roorkee247667 India

ISBN: (纸本)9783319676296

Container-based high performance computing (HPC) has started gaining popularity due to its almost negligible performance penalty compared to the BareMetal hardware. Although HPC hardware architectures and programming models are continuously evolving, the platform models are suffering from the HPC community’s awareness. Power-awareness, hardware and application-aware co-design along with security related concerns have attracted the most in recent time to empower the platform models. Otherside, the OpenPOWER ecosystems have stepped into our life to fulfill the thirst of exploiting the last drop of a performance benefit from our invested system. It has Power8 compliant processor with a larger cache, big fat instructions and data path accompanied by the popular coherent accelerator. In this paper, we have proposed a container-based HPC ecosystem established using OpenPOWER machine. The performance of the designed and developed ecosystem is evaluated stressing on different subcomponents of the system such as processor, memory, IO, and interconnect. Finally, the results are compared with the performance of the equivalent environments made of virtual machines and BareMetal hardware. © Springer International Publishing AG 2017.

关键词： Ecosystems

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A generalized model of TiOx-based memristive devices and its application for image processing

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Chinese Physics B 2017年第9期26卷 70-81页

作者：张江伟汤振森许诺王耀孙红辉王之元方粮 State Key Laboratory of High Performance Computing National University of Defense Technology School of Computer National University of Defense Technology Department of Electrical and Computer Engineering University of Pittsburgh Department of Material Science and Engineering College of EngineeringSeoul National University School of Computer National University of Defense Technology

Memristive technology has been widely explored, due to its distinctive properties, such as nonvolatility, high density,versatility, and CMOS compatibility. For memristive devices, a general compact model is highly favorable for the realization of its circuits and applications. In this paper, we propose a novel memristive model of TiOx-based devices, which considers the negative differential resistance（NDR） behavior. This model is physics-oriented and passes Linn＇s criteria. It not only exhibits sufficient accuracy（IV characteristics within 1.5% RMS）, lower latency（below half the VTEAM model）,and preferable generality compared to previous models, but also yields more precise predictions of long-term potentiation/depression（LTP/LTD）. Finally, novel methods based on memristive models are proposed for gray sketching and edge detection applications. These methods avoid complex nonlinear functions required by their original counterparts. When the proposed model is utilized in these methods, they achieve increased contrast ratio and accuracy（for gray sketching and edge detection, respectively） compared to the Simmons model. Our results suggest a memristor-based network is a promising candidate to tackle the existing inefficiencies in traditional image processing methods.

关键词： memristor modeling memristor-based network gray sketching edge detection

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Using unified parallel C to parallelize the FDTD method of computational electrodynamics

Using unified parallel C to parallelize the FDTD method of c...

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2009 IEEE 13th International Multitopic Conference, INMIC 2009

作者： Hussain, A. Shafi, A. Raza, J. Center for High Performance Scientific Computing Department of Computing NUST School of Electrical Engineering and Computer Science Pakistan

ISBN: (纸本)9781424448722

This paper discusses a parallel implementation of the Finite-Difference Time-Domain (FDTD) method using Unified Parallel C (UPC). UPC is an extension of ANSI C - primarily designed for programming distributed memory parallel hardware. The FDTD method is a powerful and widely used numerical technique in computational electromagnetics community. It is a resource - CPU cycles and memory - hungry technique. Consequently, a parallel implementation is highly desirable to decrease time-to-solution and be able to study larger problems with limited resources. To the best of our knowledge, this is the first attempt to exploit UPC to parallelize the FDTD method. We evaluate the performance of our implementation on a cluster of four SunFire v890 compute nodes-each equipped with 16 processing cores - and report impressive speedups. ©2009 IEEE.

关键词： Finite difference time domain method

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Developing an Automated Mechanism for Cluster computing in computerized Classroom

Developing an Automated Mechanism for Cluster Computing in C...

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International Conference on Computational science (ICCS) on the Ascent of Computational Excellence

作者： Wang, Shuen-Tai Li, Chin-Hung Chang, Hsi-Ya Chen, Ying-Chuan Hsu, Ching-Hsien National Center for High-Performance Computing Taiwan Department of Computer Science and Information Engineering Chung Hua University Taiwan

Scientific computing has become one of the key players in the advance of modern science and technologies. In the meantime, due to the success of developments in processor fabrication, the computing power of Personal computer (PC) is not to be ignored as well. Lots of high throughput type of applications can be satisfied by using the current desktop PCs, especially for those in computerized classrooms, and leave the supercomputers for the demands from large scale high performance parallel computations. The goal of this work is to develop an automated mechanism for cluster computing to utilize the computing power such as resides in computerized classroom. The PCs in computerized classroom are usually setup for education and training purpose during the daytime, and shut down at night. After well deployment, these PCs can be transformed into a pre-configured cluster computing resource immediately without touching the existing education/training environment installed on these PCs. Thus, the training activities will not be affected by this additional activity to harvest idle computing cycles. To echo today's energy saving issues, a dynamic power management is also developed to minimize energy cost. This development not only greatly reduces the management efforts and time to build a cluster, but also implies the reduction of the power consumption by such a mechanism.

关键词： Personal computer cluster computing computerized classroom dynamic power management

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Advances in simulated modeling of vibration systems based on computational intelligence

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自然科学进展(英文版) 2002年第12期12卷 881-886页

作者： LIANG Yanchun LEE Heow Pueh LIN Wuzhong LIM Siak Piang LEE Kwok Hong Zhou Chunguang College of Computer Science and Technology Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sci Institute of High Performance Computing Singapore 117528 Department of Mechanical Engineering National University of Singapore Singapore 119260 Singapore College of Computer Science and Technology Jilin University Changchun 130012 China

Computational intelligence is the computational simulation of the bio-intelligence, which includes artificial neural networks, fuzzy systems and evolutionary computations. This article summarizes the state of the art in the field of simulated modeling of vibration systems using methods of computational intelligence, based on some relevant subjects and the authors' own research work. First, contributions to the applications of computational intelligence to the identification of nonlinear characteristics of packaging are reviewed. Subsequently, applications of the newly developed training algorithms for feedforward neural networks to the identification of restoring forces in multi-degree-of-freedom nonlinear systems are discussed. Finally, the neural-network-based method of model reduction for the dynamic simulation of microelectromechanical systems (MEMS) using generalized Hebbian algorithm (GHA) and robust GHA is outlined. The prospects of the simulated modeling of vibration systems using techniques of computational intelligence are also indicated.

关键词： computational intelligence artificial neural network fuzzy system evolutionary computation vibration system

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Study and analysis of hadoop cluster optimization based on configuration properties

Study and analysis of hadoop cluster optimization based on c...

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2017 Innovations in Power and Advanced computing Technologies, i-PACT 2017

作者： Reza, Motahar Tripathy, Badrinath Ranjan, Harsh Anant Kumar, G. High Performance Computing Lab School of Computer Science and Engineering National Institute of Science and Technology Berhampur761008 India

ISBN: (纸本)9781509056828

Hadoop framework consists of multiple components. One set of configuration parameters may not be suitable for all types of applications. Hence, for optimum performance, each framework parameter needs to be carefully chosen and adjusted. This paper highlights some of the important configuration properties related to Block size, memory allocation, CPU allocation, Number of MapReduce jobs, Job scheduling and JVM which should be tuned for improved Hadoop application performance. The result of some Benchmark problems are analyzed. © 2017 IEEE.

关键词： MapReduce

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Implementation of an algorithm for minimum spanning tree in a distributed environment

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2014 National Conference on Emerging Trends in computing and Communication, ETCC 2014

作者： Rath, Hara Prasad Achary, K. Sudipta Reza, Motahar Satpathy, Saroj K. High Performance Computing Lab. School of Computer Science and Engineering National Institute of Science and Technology Berhampur India

ISBN: (纸本)9788132218166

high performance computing and its applications are innumerable and the fact that it has seen a tremendous change in the recent years has given it the chance of becoming the future of computing world. The growing need for computational speed has made parallel processing as a must for every sphere of computation. Java is seen as a suitable language for high performance computing due to its appealing features. In this paper we present a model which deploys an algorithm which is suitable for increasing the computational efficiency in calculating the Minimum Spanning Tree, using the features provided by remote method invocation in java. This model implements java's built-in features like Multi-Threading, Java RMI (Remote Method Invocation), and Object Serialization. © 2014 Springer.

关键词： Computational efficiency

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