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International Conference on High Performance computing

作者： D.R. Chakrabarti P.G. Joisha J.A. Chandy D. Krishnaswamy V. Krishnaswamy P. Banerjee Center for Parallel and Distributed Computing Electrical and Computer Engineering Department Northwestern University Evanston IL USA Sierra Vista Research Inc. Los Gatos CA USA Intel Corporation Folsom CA USA Intel Corporation OR USA

We present a novel framework of a Web-based automated parallel CAD environment. The goal of this project is to make available to the CAD community a growing number of design and test applications that support standard interfaces and execute efficiently in a parallel environment. The design files of a user working on a remote machine are transparently shipped to the local Compute center, the relevant computation is performed in a parallel environment and then the results are returned back to the user. A job submission and scheduling tool ensures proper load balance and maximal usage of the various parallel machines. The whole process is done efficiently and transparently without the user having to bother about any low-level details. At present, a number of parallel CAD tools including a placement tool, a fault simulator and a VHDL simulator are supported. Results from a preliminary implementation are impressive and show the feasibility of the approach.

关键词： Design automation Concurrent computing Contracts Electrical capacitance tomography Software tools Pricing Computer networks Circuits Cities and towns Testing

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On design of cluster and grid computing environment toolkit for bioinformatics applications

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3326卷 82-87页

作者： Yang, Chao-Tung Kuo, Yu-Lun Li, Kuan-Ching Gaudiot, Jean-Luc High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung 40744 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung 43301 Taiwan Parallel and Scalable Computer Architecture Laboratory Dept. of Electrical Engineering and Computer Science University of California - Irvine Irvine CA 92697 United States

In this paper, we present BioGrid, a novel computing resource that combines advantages of grid computing technology with bioinformatics parallel applications. The grid environment permits the sharing of a large amount of idle computing resources and data. The investigation of bioinformatics demands orders of magnitude of computing resources and in parallel, the biological data are growing in such a high speed. By using BioGrid, we plan to integrate and share resources and biological data using the grid computing technology. Still in this paper, the well-known FASTA application is performed as matter of testing and analysis in our grid computing platform, as goal to show the improved efficiency and reduced computation time. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Bioinformatics

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MANIPULATIONS OF OCTREES AND QUADTREES ON MULTIPROCESSORS

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International Journal of Pattern Recognition and Artificial Intelligence 1994年第2期8卷 439-455页

作者： VIPIN CHAUDHARY K. KUMARI P. ARUNACHALAM J.K. AGGARWAL Parallel and Distributed Computing Laboratory Department of Electrical and Computer Engineering Wayne State University Detroit MI 48202 USA Sun Microsystems 2820 Orchard Parkway San Jose CA 95134 USA Computer and Vision Research Center Department of Electrical and Computer Engineering University of Texas at Austin Austin Texas 78712–1084 USA

Octrees offer a powerful means for representing and manipulating 3-D objects. This paper presents an implementation of octree manipulations using a new approach on a shared memory architecture. Octrees are hierarchical data structures used to model 3-D objects. The manipulation of these data structures involves performing independent computations on each node of the octree. Octrees are much easier to deal with than other forms of representations used to model 3-D objects especially where extensive manipulations are involved. When these operations are distributed among multiple processing elements (PEs) and executed simultaneously, a significant speedup may be achieved. Manipulations such as a complement, a union, an intersection and other operations such as finding the volume and centroid which this paper describes are implemented on the Sequent Balance multiprocessor. In this approach the PEs are allocated dynamically, resulting in a uniform load balancing among them. The experimental results presented illustrate the feasibility of the approach. Although this evaluation has been originally done for shared memory machines, it will provide insight for the evaluation of other architectures.

关键词： Shared memory architecture dynamic allocation union intersection orthogonal views

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MTD: Multi-Timestep Detector for Delayed Streaming Perception

arXiv

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arXiv 2023年

作者： Huang, Yihui Chen, Ningjiang School of Computer and Electronic Information Guangxi University Nanning China Guangxi Intelligent Digital Services Research Center of Engineering Technology Nanning China Key Laboratory of Parallel Distributed and Intelligent Computing Guangxi University Education Department of Guangxi Zhuang Autonomous Region Nanning China

Autonomous driving systems require real-time environmental perception to ensure user safety and experience. Streaming perception is a task of reporting the current state of the world, which is used to evaluate the delay and accuracy of autonomous driving systems. In real-world applications, factors such as hardware limitations and high temperatures inevitably cause delays in autonomous driving systems, resulting in the offset between the model output and the world state. In order to solve this problem, this paper propose the Multi-Timestep Detector (MTD), an end-to-end detector which uses dynamic routing for multi-branch future prediction, giving model the ability to resist delay fluctuations. A Delay Analysis Module (DAM) is proposed to optimize the existing delay sensing method, continuously monitoring the model inference stack and calculating the delay trend. Moreover, a novel Timestep Branch Module (TBM) is constructed, which includes static flow and adaptive flow to adaptively predict specific timesteps according to the delay trend. The proposed method has been evaluated on the Argoverse-HD dataset, and the experimental results show that it has achieved state-of-the-art performance across various delay settings. Copyright © 2023, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Applying linux high-availability and load balancing servers for Video-on-Demand (VOD) systems

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3332卷 455-462页

作者： Yang, Chao-Tung Wang, Ko-Tzu Li, Kuan-Ching Lee, Liang-Teh High Performance Computing Laboratory Dept. of Computer Science and Information Engineering Tunghai University Taichung 407 Taiwan Parallel and Distributed Processing Center Dept. of Computer Science and Information Management Providence University Taichung 433 Taiwan Dept. of Computer Science and Engineering Tatung University Taipei 104 Taiwan

In this research paper, we integrate and implement High-Availability (HA) and Load-Balancing technologies to clusters of workstations, increasing both the availability and scalability of services and resources in these systems. The cluster of workstations is commonly built and used as web-based VOD servers. Thus, this paper presents the hardware and software configurations of cluster systems working as VOD servers. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Linux

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Knowledge Distillation with Source-free Unsupervised Domain Adaptation for BERT Model Compression

Knowledge Distillation with Source-free Unsupervised Domain ...

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International Conference on Computer Supported Cooperative Work in Design

作者： Jing Tian Juan Chen Ning Jiang Chen Lin Bai Suqun Huang School of Computer and Electronic Information Guangxi University Nanning China Guangxi Intelligent Digital Services Research Center of Engineering Technology Nanning China Education Department of Guangxi Zhuang Autonomous Region Key Laboratory of Parallel Distributed and Intelligent Computing (Guangxi University) Nanning China

The pre-training language model BERT has brought significant performance improvements to a series of natural language processing tasks, but due to the large scale of the model, it is difficult to be applied in many practical application scenarios. With the continuous development of edge computing, deploying the models on resource-constrained edge devices has become a trend. Considering the distributed edge environment, how to take into account issues such as data distribution differences, labeling costs, and privacy while the model is shrinking is a critical task. The paper proposes a new BERT distillation method with source-free unsupervised domain adaptation. By combining source-free unsupervised domain adaptation and knowledge distillation for optimization and improvement, the performance of the BERT model is improved in the case of cross-domain data. Compared with other methods, our method can improve the average prediction accuracy by up to around 4% through the experimental evaluation of the cross-domain sentiment analysis task.

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distributed Simulation and the Grid: Position Statements

Distributed Simulation and the Grid: Position Statements

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International Workshop/Symposium on distributed Simulation and Real-Time Applications (DS-RT)

作者： S.J.E. Taylor G.V. Popescu J.M. Pullen S.J. Turner Centre for Applied Simulation Modeling Brunei University Uxbridge Middlesex UK IBM Thomas J. Watson Research Center Yorktown Heights NY USA C3I Center George Mason University Fairfax VA USA Parallel & Distributed Computing Centre Nanyang Technological University Singapore

The Grid provides a new and unrivaled technology for large scale distributed simulation as it enables collaboration and the use of distributed computing resources. This panel paper presents the views of four researchers in the area of distributed Simulation and the Grid. Together we try to identify the main research issues involved in applying Grid technology to distributed simulation and the key future challenges that need to be solved to achieve this goal. Such challenges include not only technical challenges, but also political ones such as management methodology for the Grid and the development of standards. The benefits of the Grid to end-user simulation modelers also are discussed.

关键词： Grid computing Resource management Delay Government Web and internet services Computer aided manufacturing parallel processing Feedback Industrial economics Investments

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Preface for the joint workshop on tools for program development and analysis in computational science and software engineering for large-scale computing

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2009年第PART 2期5545 LNCS卷 655-656页

作者： Knüpfer, Andreas Bode, Arndt Kranzlmüller, Dieter Rodrìguez, Daniel Ruiz, Roberto Tao, Jie Wismüller, Roland Volkert, Jens Center for Information Services and High Performance Computing Technische Universität Dresden Germany Lehrstuhl für Rechnertechnik und Rechnerorganisation Technische Universitä München Germany Munich Germany University of Alcalá Spain Pablo de Olavide University of Seville Spain Steinbuch Center for Computing Karlsruhe Institute of Technology Germany Operating Systems and Distributed Systems University of Siegen Germany Institute of Graphics and Parallel Processing Johannes Kepler University Linz Austria

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Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval

Enhancing 2D Representation via Adjacent Views for 3D Shape ...

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International Conference on Computer Vision (ICCV)

作者： Cheng Xu Zhaoqun Li Qiang Qiu Biao Leng Jingfei Jiang School of Computer Science & Engineering Beihang University Duke University Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University State Key Laboratory of Virtual Reality Technology and Systems Beihang University National Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (数字)9781728148038

ISBN: (纸本)9781728148045

Multi-view shape descriptors obtained from various 2D images are commonly adopted in 3D shape retrieval. One major challenge is that significant shape information are discarded during 2D view rendering through projection. In this paper, we propose a convolutional neural network based method, centerNet, to enhance each individual 2D view using its neighboring ones. By exploiting cross-view correlations, centerNet learns how adjacent views can be maximally incorporated for an enhanced 2D representation to effectively describe shapes. We observe that a very small amount of, e.g., six, enhanced 2D views, are already sufficient for a panoramic shape description. Thus, by simply aggregating features from six enhanced 2D views, we arrive at a highly compact yet discriminative shape descriptor. The proposed shape descriptor significantly outperforms state-of-the-art 3D shape retrieval methods on the ModelNet and ShapeNetCore55 benchmarks, and also exhibits robustness against object occlusion.

关键词： Shape Three-dimensional displays Correlation Two dimensional displays Feature extraction Solid modeling Computational modeling

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Implementation of Neural Networks in Time Series to Generate a Portfolio of Investment in Cryptocurrencies

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Journal of Mathematics and System Science 2020年第1期10卷 1-12页

作者： Jose B.Hernandez C. Jorge A.Flores S. Jesus Lares Escuela de Matematicas Universidad Central de VenezuelaLos Chaguaramos1020CaracasVenezuela Centro de Investigacion en Matematicas A.C.Unidad Monterrey.Av.Alianza Centro 502PIIT 66628ApodacaNuevo LeonMexico EY Wavespace MadridSpain Parallel and Distributed Computing Center Universidad Central de VenezuelaLos Chaguaramos1020CaracasVenezuela

The present work aims to implement two types of neural networks and an analysis of a multivariate time series model of VAR type to predict the price of cryptocurrencies like Bitcoin,Dash,Ethereum,Litecoin,and *** subject has been popular in recent years due to the rapid price fluctuations and the immense amount of money involved in the cryptocurrencies *** technologies have been developed around cryptocurrencies,with Blockchain rising as the most *** has been implementing other information technology projects which have helped to open a wide variety of job positions in some industries.A“New Economy”is emerging and it is important to study its basis in order to establish the pillars that help us to understand its behavior and be ready for a new era.

关键词： Neural networks time series cryptocurrencies VAR models

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