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3rd International Conference on Computational Science, engineering and Information Technology, CCSEIT 2013

作者： Akman, Yasin Yerlikaya, Tarik Computer Programming Department Selcuk University Konya Turkey Computer Engineering Department Trakya University Edirne Turkey

ISBN: (纸本)9783319009506

Advanced Encryption Standard (AES), which is approved and published by Federal Information Processing Standard (FIPS), is a cryptographic algorithm that can be used to protect electronic data. The AES algorithm can be programmed in software or hardware. This paper presents encryption time comparison of the AES algorithm on FPGA and computer. In the study, Verilog HDL and C programming language is used on the FPGA and computer, respectively. The AES algorithm with 128-bit input and key length 128-bit (AES-128) was simulated on Xilinx ISE Design Suite 13.3. It was observed that, the AES algorithm runs on the FPGA faster than on a computer. We measured the time of encryption on FPGA and computer. Encryption time is 390ns of AES on FPGA and 11 μs of AES on a computer.

关键词： Field programmable gate arrays (FPGA)

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OpenCL as a programming model for GPU clusters

OpenCL as a programming model for GPU clusters

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24th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2011

作者： Kim, Jungwon Seo, Sangmin Lee, Jun Nah, Jeongho Jo, Gangwon Lee, Jaejin Center for Manycore Programming School of Computer Science and Engineering Seoul National University Seoul 151-744 Korea Republic of

ISBN: (纸本)9783642360350

In this paper, we propose an OpenCL framework for GPU clusters. The target cluster architecture consists of a single host node and multiple compute nodes. They are connected by an interconnection network, such as Gigabit and InfiniBand switches. Each compute node consists of multiple GPUs. Each GPU becomes an OpenCL compute device. The host node executes the host program in an OpenCL application. Our OpenCL framework provides an illusion of a single system for the user. It allows the application to utilize GPUs in a compute node as if they were in the host node. No communication API, such as the MPI library, is required in the application source. We show that the original OpenCL semantics naturally fits to the GPU cluster environment, and the framework achieves both high performance and ease of programming. We implement the OpenCL framework and evaluate its performance on a GPU cluster that consists of one host and eight compute nodes using six OpenCL benchmark applications. © 2013 Springer-Verlag.

关键词： Graphics processing unit

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The functional programming language R and the paradigm of dynamic scientific programming (Position paper)

The functional programming language R and the paradigm of dy...

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13th Symposium on Trends in Functional programming, TFP 2012

作者： Widemann, Baltasar Trancón Y. Bolz, Carl Friedrich Grelck, Clemens Ecological Modelling and Computer Science Universität Bayreuth Germany Software Engineering and Programming Languages Heinrich-Heine-Universität Düsseldorf Germany Computer Systems Architecture Universiteit Van Amsterdam Netherlands

ISBN: (纸本)9783642404467

R is an environment and functional programming language for statistical data analysis and visualization. Largely unknown to the functional programming community, it is popular and influential in many empirical sciences. Due to its integrated combination of dynamic and reflective scripting on one hand, and array-based numerical computation on the other, R poses unique and challenging implementation problems, at odds with the conservative language technology employed by its developers. We discuss the background of R in historical context, highlight some of the more problematic language features, and discuss the potential for the effective use of state-of-the-art language technology in a future, safe and efficient implementation. © 2013 Springer-Verlag.

关键词： Data visualization

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A multiobjective multi-item inventory control problem in fuzzy-rough environment using soft computing techniques

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Advances in Decision Sciences 2014年 2014卷

作者： Jana, Dipak Kumar Maity, K. Maiti, M. Roy, T.K. Department of Engineering Science Haldia Institute of Technology Haldia West Bengal 721657 India Department of Mathematics Mugberia Gangadhar Mahavidyalaya Mugberia Purba Medinipur West Bengal 721425 India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Medinipur West Bengal 721 102 India Department of Mathematics Bengal Engineering and Science University Shibpur Howrah West Bengal 711103 India

The optimal production and advertising policies for an inventory control system of multi-item multiobjective problem under a single management are formulated as an optimal control problem with resource constraints under inflation and discounting in fuzzy rough (Fu-Ro) environment. The objectives and constraints in Fu-Ro are made deterministic using fuzzy rough expected values method (EVM). Here, the production and advertisement rates are unknown and considered as control (decision) variables. The production, advertisement, and demand rates are functions of time t. Maximization of the total proceed from perfect and imperfect units and minimization of the total cost consisting of production, holding, and advertisement costs are formulated as optimal control problems and solved directly using multiobjective genetic algorithm (MOGA). In another method for solution, membership functions of the objectives are derived and the multi-objective problems are transformed to a single objective by the convex combination of the membership functions and then the problem is solved by generalized reduced gradient (GRG) method. Finally, numerical experiment and graphical representation are provided to illustrate the system. © 2014 Dipak Kumar Jana et al.

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Comparision of multi-carrier techniques in seven-level asymmetric cascade multilevel inverter

Comparision of multi-carrier techniques in seven-level asymm...

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2013 4th International Conference on Power engineering, Energy and Electrical Drives, POWERENG 2013

作者： Colak, Ilhami Kabalci, Ersan Keven, Gokhan Faculty of Technology Department of Electric and Electronic Engineering Gazi University Ankara Turkey Faculty of Engineering and Architecture Dep. of Electrical and Electronic Eng. Nevsehir University Nevsehir Turkey Vocational College of Haci Bektaş Veli Dep. of Computer Programming Nevsehir University Nevsehir Turkey

ISBN: (纸本)9781467363921

The multilevel inverters (MLIs) are classified into three topologies such as Diode Clamped, Flying Capacitor and Cascade Multilevel Inverter (CMLI). CMLI topologies include two kind of structure that is named symmetric and asymmetric topologies. Asymmetric Cascade MLI (ACMLI) topologies consist of unequal DC sources. Many modulation techniques have been used in ACMLI topology such as Multi-Carrier PWM (MC-PWM), Space Vector PWM and Selective Harmonic PWM. The MC-PWM technique is achieved by four different types. In this study, MC-PWM techniques which are named Phase Disposition PWM, Phase Opposition Disposition PWM, Alternate Phase Opposition Disposition PWM and Phase Shifted PWM have been compared. It is uncovered that Phase Opposition Disposition PWM technique is more convenient in terms of Total Harmonic Distortion of output voltage and current signals and in terms of the quality of power factor in ACMLI which is performed in this study. © 2013 IEEE.

关键词： Pulse width modulation

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Optimization of industrial processes in reactors

Optimization of industrial processes in reactors

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2nd International Conference on Key engineering Materials and computer Science, KEMCS 2013

作者： Berdiyeva, Meruyert Ospanova, Aiman Othman, Mohamed Department of Computer engineering and Software programming South Kazakhstan State University Tauke khan avenue 5 Shymkent 160012 Kazakhstan Dept of Communication Technology and Network Universiti Putra Malaysia 43400 UPM Serdang Selangor D.E Malaysia

ISBN: (纸本)9783037857274

In the conditions of industrial production many processes of polymerisation are nonstationary. By processes optimization with the regard for such features as basic data it is necessary to use adaptive algorithms of identification, allowing mathematical model of process continuously to be adapted for changing conditions of operation. Use of such algorithms for process optimization demands periodic recalculation of optimum technological modes of process. Polymer reaction engineering is a discipline that deals with various problems concerning the fundamental nature of chemical and physical phenomena in polymerization processes. Mathematical modeling is a powerful tool for the development of process understanding and advanced reactor technology in the polymer industry. © (2013) Trans Tech Publications, Switzerland.

关键词： Optimization

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Optimization of Industrial Processes in Reactors

Optimization of Industrial Processes in Reactors

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2013 2nd International Conference on Key engineering Materials and computer Science(KEMCS 2013)

作者： Meruyert Berdiyeva Aiman Ospanova Мohamed Othman Department of Computer engineering and Software programming South Kazakhstan State University Dept of Communication Technology and Network Universiti Putra Malaysia

关键词： industrial processes polymerisattion chemical reactors technological parameters-temperature and conversion the optimization problem

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Model-based dynamic optimization with openmodelica and CasADi

Model-based dynamic optimization with openmodelica and CasAD...

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7th IFAC Symposium on Advances in Automotive Control, AAC 2013

作者： Shitahun, Alachew Ruge, Vitalij Gebremedhin, Mahder Bachmann, Bernhard Eriksson, Lars Andersson, Joel Diehl, Moritz Fritzson, Peter PELAB-Programming Environment Lab Dept. Computer Science Linköping University SE-581 83Linköping Sweden Dept. Mathematics and Engineering University of Applied Sciences D-33609 Bielefeld Germany Vehicular Systems Dept. Electrical Engineering Linköping University SE-581 83 Linköping Sweden K.U. Leuven Belgium

ISBN: (纸本)9783902823434

This paper demonstrates model-based dynamic optimization through the coupling of two open source tools: OpenModelica, which is a Modelica-based modeling and simulation platform, and CasADi, a framework for numerical optimization. The coupling uses a standardized XML format for exchange of differential-algebraic equations (DAE) models. OpenModelica supports export of models written in Modelica and the optimization language extension using this XML format, while CasADi supports import of models represented in this format. This allows users to define optimal control problems (OCP) using Modelica and optimization language specification, and solve the underlying model formulation using a range of optimization methods, including direct collocation and direct multiple shooting. The proposed solution has been tested on several industrially relevant optimal control problems, including a dieselelectric power train.

关键词： Optimization

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PartialRC: A Partial Recomputing Method for Efficient Fault Recovery on GPGPUs

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Journal of computer Science & Technology 2012年第2期27卷 240-255页

作者：徐新海杨学军薛京灵林宇斐林一松 National Laboratory for Parallel and Distributed Processing School of ComputerNational University of Defense Technology Programming Languages and Compilers Group School of Computer Science and Engineering University of New South Wales

GPGPUs are increasingly being used to as performance accelerators for HPC （High Performance Computing） applications in CPU/GPU heterogeneous computing systems, including TianHe-1A, the world＇s fastest supercomputer in the TOP500 list, built at NUDT （National University of Defense Technology） last year. However, despite their performance advantages, GPGPUs do not provide built-in fault-tolerant mechanisms to offer reliability guarantees required by many HPC applications. By analyzing the SIMT （single-instruction, multiple-thread） characteristics of programs running on GPGPUs, we have developed PartialRC, a new checkpoint-based compiler-directed partial recomputing method, for achieving efficient fault recovery by leveraging the phenomenal computing power of GPGPUs. In this paper, we introduce our PartialRC method that recovers from errors detected in a code region by partially re-computing the region, describe a checkpoint-based faulttolerance framework developed on PartialRC, and discuss an implementation on the CUDA platform. Validation using a range of representative CUDA programs on NVIDIA GPGPUs against FullRC （a traditional full-recomputing Checkpoint-Rollback-Restart fault recovery method for CPUs） shows that PartialRC reduces significantly the fault recovery overheads incurred by FullRC, by 73.5% when errors occur earlier during execution and 74.6% when errors occur later on average. In addition, PartialRC also reduces error detection overheads incurred by FullRC during fault recovery while incurring negligible performance overheads when no fault happens.

关键词： GPGPU partial recomputing fault tolerance CUDA checkpointing

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Easy and improved algorithms to joint determination of the replenishment lot size and number of shipments for an EPQ model with rework

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Mathematical and Computational Applications 2013年第2期18卷 132-138页

作者： Cárdenas-Barrón, Leopoldo Eduardo Sarkar, Biswajit Trevino-Garza, Gerardo Department of Industrial and Systems Engineering School of Engineering Tecnológico de Monterrey E. Garza Sada 2501 Sur C.P. 64849 Monterrey Mexico Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University West Midnapore 721102 West Bengal India

Recently, in Mathematical and Computational Applications Journal Chiu et al. [1] and Chen and Chiu [2] propose an inventory model based on EPQ with rework to determine the replenishment lot size and the number of shipments for a vendor-buyer integrated production-inventory system. They solve the inventory problem by considering both variables as continuous. However, the number of shipments must be considered as discrete variable. In this direction, this paper revisits and solves the inventory problem of [1-2] considering the decision variables according to their nature. Two easy and improved algorithms are proposed which simplify and complement the research works of [1-2].

关键词： Inventory control

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