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19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005

作者： Bertrand, Felipe Bramley, Randall Bernholdt, David E. Kohl, James A. Sussman, Alan Larson, Jay W. Damevski, Kostadin B. Indiana University Computer Science Department Oak Ridge National Laboratory Computer Science and Mathematics Division University of Maryland UMIACS Department of Computer Science Argonne National Laboratory Mathematics and Computer Science Division University of Utah Scientific Computing and Imaging Institute

ISBN: (纸本)0769523129

With the increasing availability of high-performance massively parallel computer systems, the prevalence of sophisticated scientific simulation has grown rapidly. The complexity of the scientific models being simulated has also evolved, leading to a variety of coupled multi-physics simulation codes. Such cooperating parallel programs require fundamentally new interaction capabilities, to efficiently exchange parallel data structures and collectively invoke methods across programs. So-called "M×N" research, as part of the Common Component Architecture (CCA) effort, addresses these special and challenging needs, to provide generalized interfaces and tools that support flexible parallel data redistribution and parallel remote method invocation. Using this technology, distinct simulation codes with disparate distributed data decompositions can work together to achieve greater scientific discoveries.

关键词： Parallel processing systems

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Managing jobs with an interpreted language for dynamic adaptation

Managing jobs with an interpreted language for dynamic adapt...

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3rd International Workshop on Middleware for Grid computing, MGC'05, Held at the ACM/IFIP/USENIX International Middleware Conference

作者： Milanés, Anolan Rodriguez, Noemi Schulze, Bruno Pontifícia Universidade Católica Do Rio de Janeiro Computer Science Department Brazil National Laboratory for Scientific Computing Computer Science Dep Brazil LNCC Brazil

ISBN: (纸本)1595932690

In this paper we explore the advantages of using interpreted languages for building submitting engines for the grid. In particular, we discuss an example engine, developed using ALua, for submitting jobs in a cluster, which can be extended to a grid environment. We claim that the flexibility offered by interpreted languages justifies the problems related to the intrinsic loss of efficiency associated with this kind of languages. The focus of this work is on adaptation and ease of use. Copyright 2005 ACM.

关键词： Engines

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Routing on the dependency graph: A new approach to deadlock-free high-performance routing 16

Routing on the dependency graph: A new approach to deadlock-...

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25th ACM International Symposium on High-Performance Parallel and Distributed computing, HPDC 2016

作者： Domke, Jens Hoefler, Torsten Matsuoka, Satoshi Institute of Computer Engineering TU Dresden Germany Computer Science Department ETH Zurich Switzerland Global Scientific Information and Computing Center Tokyo Tech Japan

ISBN: (纸本)9781450343145

Lossless interconnection networks are omnipresent in high performance computing systems, data centers and network-on-chip architectures. Such networks require efficient and deadlock-free routing functions to utilize the available hardware. Topology-aware routing functions become increasingly inapplicable, due to irregular topologies, which either are irregular by design or as a result of hardware failures. Existing topology-agnostic routing methods either suffer from poor load balancing or are not bounded in the number of virtual channels needed to resolve deadlocks in the routing tables. We propose a novel topology-agnostic routing approach which implicitly avoids deadlocks during the path calculation instead of solving both problems separately. We present a model implementation, called Nue1, of a destination-based and oblivious routing function. Nue routing heuristically optimizes the load balancing while enforcing deadlock-freedom without exceeding a given number of virtual channels, which we demonstrate based on the InfiniBand architecture. Copyright © 2016 by the Association for computing Machinery, Inc. (ACM).

关键词： Topology

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A computational framework for Carreau nanomaterial induced by stretchy regime considering Brownian diffusion, viscous dissipation, ferromagnetism and thermophoresis

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Partial Differential Equations in Applied Mathematics 2025年 13卷

作者： Hussain, Iftikhar Khan, Waqar Azeem Tabrez, Muhammad Waqas, M. Ibrahim, Talib K. Saidani, Taoufik Kausar, M.S. Zamri, Nurnadiah Abdullaeva, Barno Garalleh, Hakim AL Department of Mathematics Mohi-ud-Din Islamic University Nerian Sharif Jammu and Kashmir Azad 12010 Pakistan School of Mathematics and Statistics Beijing Institute of Technology Beijing 100081 China NUTECH School of Applied Sciences and Humanities National University of Technology Islamabad 44000 Pakistan Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Besut Campus Terengganu Besut 22200 Malaysia Department of Computer Science and Mathematics Lebanese American University Beirut Lebanon Department of Petroleum Engineering College of Engineering Knowledge University Erbil 44001 Iraq Department of Petroleum Engineering Al-Kitab University Altun Kupri Iraq Center for Scientific Research and Entrepreneurship Northern Border University Arar 73213 Saudi Arabia Faculty of Informatics and Computing Universiti Sultan Zainal Abidin (Kampus Gong Badak) Terengganu Kuala Terengganu 21300 Malaysia Department of Mathematics and Information Technologies Vice-Rector for Scientific Affairs Tashkent State Pedagogical University Tashkent Uzbekistan Department of Mathematical Science College of Engineering University of Business and Technology Jeddah 21361 Saudi Arabia

In recent decade, the research in nanotechnology brought the idea of nanofluids which are highly conducting materials. Some important applications of nanofluids are justified in pharmaceutical industry, coolants in vehicles engine, preparation process of various medicines for treatment of fatal diseases like cancer, aircraft industry, latest heat exchangers etc. The ferro particles are special class of nanomaterial which attract variety of interest from the researchers. The objective of current research is to perform the investigation for heat and mass transfer subject to Carreau nanofluid to observe the enhancement of heat transmission phenomena. The induction of magnetic dipole has been observed for thermal transport phenomenon. The flow is causing by stretched surface. A simplified system is obtained by utilizing the dimensionless variables. Physical interpretation of results have been presented. Result showed that temperature profile in presence of ferrofluid fluid boosts up with escalation in thermophoresis parameter, while opposite behavior is noted for power law index. The concentration of ferrofluid showing declining behavior for Schmidt numbers and rises for thermophoresis parameter. © 2024

关键词： Carreau ferrofluid Heat and mass transfer Magnetic dipole Numerical solution

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Combined data distortion strategies for privacy-preserving data mining

Combined data distortion strategies for privacy-preserving d...

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2010 3rd International Conference on Advanced computer Theory and Engineering, ICACTE 2010

作者： Peng, Bo Geng, Xingyu Zhang, Jun College of Computer Science Southwest Petroleum University Chengdu China Laboratory for High Performance Scientific Computing and Computer Simulation Department of Computer Science University of Kentucky Lexington KY 40506-0046 United States

ISBN: (纸本)9781424465408

The problem of privacy-preserving data mining has become more and more important in recent years. Many successful and efficient techniques have been developed. However, in collaborative data analysis, part of the datasets may come from different data owners and may be processed using different data distortion methods. Thus, combinations of datasets processed using different methods are of practical interests. In this paper, a class of novel data distortion strategies is proposed. Four schemes via attribute partition, with different combinations of singular value decomposition (SVD), nonnegative matrix factorization (NMF), discrete wavelet transformation (DWT), are designed to perturb submatrix of the original datasets for privacy protection. We use some metrics to measure the performance of the proposed new strategies. Data utility is examined by using a binary classification based on the support vector machine. Our experimental results indicate that, in comparison with the individual data distortion techniques, the proposed schemes are very efficient in achieving a good trade-off between data privacy and data utility, and provide a feasible solution for collaborative data analysis. © 2010 IEEE.

关键词： Data mining

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A comparison of the Iserver-Occam, Parix, Express, and PVM programming environments on a parsytec GCel

A comparison of the Iserver-Occam, Parix, Express, and PVM p...

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International Conference and Exhibition on High-Performance computing and Networking, HPCN 1994

作者： Sloot, P.M.A. Hoekstra, A.G. Hertzberger, L.O. Parallel Scientific Computing & Simulation Group Department of Computer Systems Faculty of Mathematics and Computer Science University of Amsterdam Kruislaan 403 Amsterdam1098 SJ Netherlands

ISBN: (纸本)9783540579816

We compare the Iserver-Occam, Parix, PVM, and Express parallel programming environments on a Parsytec GCel with 512 T805 transputers. The comparison will be made by a detailed analysis of the performance of one particular application. In our approach we start with this application and isolate the basic (environment dependent) building blocks. These basic building blocks, which depend on floating point performance and communication capabilities of the environments, are analysed independently. We have measured point to point communication times, global communication times and floating point performance. All information will be combined into a time complexity analysis, allowing us to compare the environments on all relevant degrees of functionality. Together with demands for portability of the code, and development time (i.e. programmability), an overall judgement of the environments can be made. © 1994, Springer Verlag. All rights reserved.

关键词： Transputers

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Compact Model Build Upon Dynamic Weighting Artificial Neural Network Approach for Complementary Field Effect Transistors

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IEEE Transactions on Electron Devices 2024年第1期71卷 246-253页

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan Institute of Pioneer Semiconductor Innovation The Institute of Artificial Intelligence Innovation National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program The Institute of Communications Engineering the Institute of Biomedical Engineering Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan

In this work, a dynamic weighting-artificial neural network (DW-ANN) methodology is presented for quick and automated compact model (CM) generation. It takes advantage of both TCAD simulations for high accuracy and SPICE simulations for cost-effectiveness. This methodology is developed for gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field effect transistor (CFET), a potential candidate for future CMOS technology due to its innate properties. The critical process variation (PV) sources that severely degrade the CFET performance are estimated using DW-ANN. It reduces the computation cost and predicts the effects of PV sources with less than 1% error. Furthermore, a compact DW-ANN-based Verilog-A model has been developed that captures the dc as well as transient behavior accurately for circuit-level analysis. CFET-based circuits such as inverter, 6T-static random access memory (SRAM), and ring oscillator (RO) are characterized and implemented using DW-ANN-based CM. The overall average error of the model is reported as less than 2%. Therefore, the proposed device and circuit modeling approach provides a feasible solution for the rapid compact modeling of new emerging devices with good convergence and high accuracy. © 1963-2012 IEEE.

关键词： Neural networks

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A filter representation for reduced order models

A filter representation for reduced order models

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6th IEEE Workshop on Signal Propagation on Interconnects, SPI

作者： Heres, P.J. Schilders, W.H.A. Eindhoven University of Technology Department of Mathematics and Computer Science Scientific Computing Group PO Box 513 5600 MB Eindhoven Netherlands

ISBN: (纸本)0780398211

In this paper we present an extension of a method described by Knockaert and De Zutter [4] which leads to rather compact models for electromagnetic simulation results. In addition, a method is presented to represent the compact model as an equivalent circuit which can be used to model e.g. interconnect structures in a circuit simulator. An example of the use of the extended SVD-Laguerre algorithm and the filter representation is given. © 2002 IEEE.

关键词： Electromagnetic simulation

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Fault Detection in Uni-Directional Tape Production Using Image Processing 25th

Fault Detection in Uni-Directional Tape Production Using Ima...

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25th International Conference on Pattern Recognition Workshops, ICPR 2020

作者： Devagekar, Somesh Delforouzi, Ahmad Plöger, Paul G. Department of Computer Science Hochschule Bonn-Rhein-Sieg Bonn Germany Institute for Algorithms and Scientific Computing Fraunhofer SCAI Bonn Germany

ISBN: (纸本)9783030687984

The quality of uni-directional tape in its production process is affected by environmental conditions like temperature and production speed. In this paper, computer vision algorithms on the scanned images are needed to be used in this context to detect and classify tape damages during the manufacturing procedure. We perform a comparative study among famous feature descriptors for fault candidate generation, then propose own features for fault detection. We investigate various machine learning techniques to find best model for the classification problem. The empirical results demonstrate the high performance of the proposed system and show preference of random forest and canny edges for classifier and feature generator respectively. © 2021, Springer Nature Switzerland AG.

关键词： Feature extraction

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Exponential time analysis of confluent and boundary eNCE graph languages 20th

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20th International Workshop on Graph-Theoretic Concepts in computer science, WG 1994

作者： Skodinis, K. Wanke, E. Department of Computer Science University of Passau PassauD-94032 Germany German National Research Center for Computer Science Institute for Algorithms and Scientific Computing Sankt AugustinD-53757 Germany

ISBN: (纸本)3540590714

eNCE (edge label neighborhood controlled) graph grammars belong to the most powerful graph rewriting systems with single-node graphs on the left-hand side of the productions. From an algorithmic point of view, confluent and boundary eNCE graph grammars are the most interesting subclasses of eNCE graph grammars. In confluent eNCE graph grammars, the order in which nonterminal nodes are substituted is irrelevant for the resulting graph. In boundary eNCE graph grammars, nonterminal nodes are never adjacent. In this paper, we show that given a confluent or boundary eNCE graph grammar G, the problem whether the language L(G) defined by G is empty, is DEXPTIME-complete. © Springer-Verlag Berlin Heidelberg 1995.

关键词： Graph theory

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