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检索条件"任意字段=10th International Conference on Algorithms and Architectures for Parallel Processing"

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A Hierarchical Model for the Analysis of Efficiency and Speed-Up of Multi-core Cluster-Computers

A Hierarchical Model for the Analysis of Efficiency and Spee...

引用

international conference on P2P, parallel, Grid, Cloud and Internet Computing (3PGCIC)

作者： Heinz Kredel Hans Günther Kruse Sabine Richling IT-Center University of Mannheim Germany IT-Center University of Heidelberg Germany

We develop a simple hierarchical model for the performance analysis of compute clusters assembled from multi-core compute nodes connected by a (high-speed) network. the performance is described by the dimensionless speed-up and efficiency in dependence on important hardware and application parameters. the hardware parameters are the number of compute nodes and the bandwidth the network, together with the number of cores per node, the theoretical performance of each core and the bandwidth of the main memory. the application parameters are the total number of operations performed on a number of bytes and the total number of bytes communicated between the processing units. In order to exemplify our concept we apply it to the scalar product of vectors, matrix multiplication, Linpack and FFT. Our previous performance models are contained as special cases in the new more comprehensive approach.

关键词： Computational modeling Mathematical model Bandwidth Analytical models Hardware Computers Multicore processing

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Hardware acceleration for sparse fourier image reconstruction

Hardware acceleration for sparse fourier image reconstructio...

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international conference on ASIC

作者： Quang Dinh Yoram Bresler Demmg Chen Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign USA

Several supercomputer vendors now offer reconfigurable computing (RC) systems, combining general-purpose processors with fie Id-program m able gate arrays (FPGAs). the FPGAs can be configured as custom computing architectures for the computationally intensive parts of each application. In this paper we present an RC-based hardware accelerator for an important medical imaging algorithm: iterative sparse Fourier image reconstruction. We transform the algorithm to exploit massive parallelism available in the FPGA fabric. Our design allows different ways of chaining custom pipelined vector engines, so that different computations can be carried out without reconfiguration overhead. Actual runtime performance data show that we achieve up to 10 times speedup compared to the software-only version. the design is estimated to provide even more speedup on a next-generation RC platform.

关键词： Hardware Acceleration Image reconstruction Field programmable gate arrays Iterative algorithms Supercomputers Computer architecture Biomedical imaging parallel processing Fabrics

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Towards Adapting parallel Programs to Different Platforms: Identifying Interaction Patterns

Towards Adapting Parallel Programs to Different Platforms: I...

引用

IEEE international conference on High Performance Computing and Communications (HPCC)

作者： Bogdan Florin Cornea Jaroslaw Slawinski Julien Bourgeois Vaidy Sunderam Emory University Atlanta GA US FEMTO-ST Inst. UFC Besançon France

Modern parallel computing platforms exhibit substantial variation in communication performance between on-socket, on-node and inter-rack locations. When application interaction patterns are irregular, communication-aware process placement on such platforms can be critical for overall runtime. Understanding program interaction patterns can be valuable in order to minimize the impact of capacity variations in communications parameters. Such knowledge can also be useful in selecting the best execution platform from the available options. In this paper we propose an approach based on source code analysis which identifies parallel application communication patterns such as star, ring, mesh, or torus. Our implementation based on ROSE framework was tested on various parallel programs that exhibit different communication patterns. We present the accuracy as well as the limitations of our static identification approach. We envisage augmenting our approach with trace information from pilot runs and best effort approaches to determine a process interaction graph.

关键词： Topology Network topology parallel processing Computer architecture Blood vessels Runtime Object recognition

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Compression and Transfer of Images in Wireless Sensor Networks Using the Transformation of Residue Number System

Compression and Transfer of Images in Wireless Sensor Networ...

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IEEE international conference on Intelligent Data Acquisition and Advanced Computing Systems

作者： Vasyl Yatskiv Anatoliy Sachenko Nataliya Yatskiv Pavlo Bykovyy Andriy Segin Ternopil National Economic University

ISBN: (纸本)9781728140704

the paper proposes a new approach to compression and data transmission in Internet of things environment, based on the transformation of the Residue Number System and the method of arithmetic coding. the transformation of the Residue Number System is used to divide the data into parts. As a result, the received remainders are compressing in parallel used the arithmetic coding. then they are transmitting through parallel routes, if the last ones are present. the proposed approach improves the processing speed through the parallel work and provides a compression ratio of depending on the type of data.

关键词： Wireless sensor networks Compression Residue number system residue number systems Wireless sensor networks compression compression ratio parallel Lines images arithmetic coding

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Investigating Software Transactional Memory on Big SMP Machines

Investigating Software Transactional Memory on Big SMP Machi...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/Distributed Computing (SNPD)

作者： Ruibo Wang Computer School National University of Defense Technology Changsha China

Most Software Transactional Memory (STM) research has focused on multi-core processors and small SMP machines; limited research has been aimed at the clusters, leaving the area of big SMP machines unexplored. Big SMP machine usually use Non-Uniform Memory Access (NUMA) to unburden the overloading between CPUs and the memory. In this paper, we evaluate several STM implementations on big SMP machine with cache coherent NUMA (ccNUMA). We found the remote memory access latency is the key factor influencing the STM performance. We also analyze the different design choices of RSTM. Finally, we conclude a specific design to achieve high performance in this domain.

关键词： Delay Multicore processing Distributed computing Concurrent computing parallel programming Software engineering Artificial intelligence Intelligent networks Machine intelligence Computer networks

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Multi-UPF Traffic Prediction of 5G Core Network With Multi-Task Learning and Multi-core parallel Computing

Multi-UPF Traffic Prediction of 5G Core Network With Multi-T...

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international conference on Computer and Communications (ICCC)

作者： Yonghe Su Hongbing Ma Bin Chen Zhanyu Ma Tian Wang Di Ge Zhi Li Shifang Wang China United Network Communications Group Corporation Limited Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798331507077

ISBN: (纸本)9798331507084

Traffic prediction has become a key aspect of 5G core network management. However, predicting traffic for multiple User Plane Functions (Multi-UPF) has received limited attention. To achieve effective and efficient forecasting for Multi-UPF traffic with machine learning, this study proposes a framework combining multi-task learning and multi-core parallel computing. Firstly, the time-series traffic data of Multi-UPF is concatenated to form the input feature. then, Random Forest algorithm is used as the backbone of the multi-task learning-based prediction model, which is able to predict the traffic of each UPF simultaneously. Finally, the computation of the multi-task learning model is further accelerated through multi-core parallel processing. Experimental results demonstrate that the proposed multi-task learning approach outperforms single-task learning method in the accuracy of each UPF traffic prediction. Furthermore, the use of multi-core parallel computing enhances the prediction speed significantly.

关键词： Learning systems Accuracy 5G mobile communication Multicore processing Computational modeling parallel processing Predictive models Multitasking Prediction algorithms Random forests

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Spatial data processing with MapReduce

Spatial data processing with MapReduce

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international conference on Industrial and Information Systems, ICIIS

作者： Tilani Gunawardena Annamaria Vicari Giansalvatore Mecca Department of Mathematics Computer Science and Economics University Of Basilicata Potenza Italy National Institute of Geophysics and Volcanology Italy

the current development of high performance parallel supercomputing infrastructures are pushing the boundaries of applications of science and are bringing new paradigms into engineering practices and simulations. Earthquake engineering is also one of the major fields, which benefits from above by looking for solutions in grid computing and cloud computing techniques. Generally, earthquake simulations involve analysis of petabytes of data. Analyzing these large amounts of data in parallel in thousands of nodes in computer clusters results in gaining high performances. Open source cloud solutions such as Hadoop MapReduce, which is highly scalable and capable of processing large amount of data rapidly in parallel on large clusters provide better solution compared to RDBDM. Both GPUs and MapReduce are designed to support vast data parallelism. For performance considerations, GPU computing could be adopted over low performing CPU systems. this paper discusses MapReduce system using Hadoop and Mars. Mars is a MapReduce framework on graphics processor. Hence, the proposition is to use GPU based systems for earthquake simulations in which Digital elevation model 3D data sets are fully materialized where scientist can make use of these data for various analysis and simulations.

关键词： Graphics processing units Feeds Mars

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High Performance Global Illumination on Multi-core architectures

High Performance Global Illumination on Multi-core Architect...

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Euromicro conference on parallel, Distributed and Network-Based processing

作者： Emilio J. Padrón Margarita Amor Montserrat Bóo Ramón Doallo Dept. of Electronics and Systems Univ. A Coruña A Coruña Spain Dept. of Electronic and Computer Eng. Univ. Santiago de Compostela Santiago de Compostela Spain

Physically-based illumination is an essential factor for realistic rendering. In this context, hierarchical radiosity is one of the most accurate global illumination methods. One of the key features of the radiosity approach is that it obtains view-independent global illumination results. Unfortunately, global illumination has high computational and memory requirements, and hierarchical radiosity, though more efficient than other radiosity solutions, is not an exception. the progressive popularization of multiprocessor and multi-core processor systems makes the design and implementation of efficient parallel algorithms an appealing alternative in this field. In this paper we present a novel parallel radiosity method addressing the hierarchical radiosity computation on current homogeneous multi-core environments. One of the main contributions of our work is the use of different tasks to exploit the independent interactions among the geometric elements in the scene. Our parallel solution leads to a versatile radiosity implementation that takes advantage of the multiple computational resources in the system, such as multi-core processors and SMT (simultaneous multithreading) capabilities. Good results in terms of performance have been achieved.

关键词： Lighting Concurrent computing Multicore processing Layout Surface-mount technology Distributed computing Multithreading Proposals Processor scheduling Computer architecture

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A Data Communication Scheduler for Stream Programs on CPU-GPU Platform

A Data Communication Scheduler for Stream Programs on CPU-GP...

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international conference on Computer and Information Technology (CIT)

作者： Tao Tang Xinhai Xu Yisong Lin National Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha China

In recent years, heterogeneous parallel system have become a focus research area in high performance computing field. Generally, in a heterogeneous parallel system, CPU provides the basic computing environment and special purpose accelerator (GPU in this paper) provides high computing performance. However, the overall performance of the system is prone to be limited by the data communication between the CPU and the GPU. Data communication is typically used to synchronize the array on the CPU and the stream (in AMD's terminology) on the GPU. In many cases, programmers just add data synchronization for each GPU invoking independently. It is easy to program in this manner but much redundant communication may be introduced, which will dramatically degrade the overall performance. To alleviate this problem, based on the stream programming model, we propose a heuristic data communication schedule approach in this paper. By analyzing the state transition of stream/array data pair, relaxing the synchronization strategy conditionally and considering optimization for branch and loop control structure, our approach can significantly reduce the redundant data communication in most cases.

关键词： Graphics processing unit Data communication Arrays Kernel Streaming media Schedules

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Monitoring gait events by image processing 24

Monitoring gait events by image processing

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24th KES international conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2020

作者： Young, Jeffery Simic, Milena Simic, Milan School of Engineering RMIT University Melbourne3083 Australia Faculty of Health Sciences University of Sydney Sydney2141 Australia

this paper presents a novel methodology in measuring Foot Progression Angle (FPA) and other gait parameters, using digital image processing, based on body and foot speeds. Measurements of body parts' movement speeds allow identification of gait events such as initial contact, mid stance and Flat Foot Phase (FFP). algorithms were developed to segment FFP based on the motion patterns and their relationships. Digital data and graphic presentation results are generated synchronously from the same optic device. this could allow clinicians to confirm results of the both data sets. New methodology requires participant to walk along a 10-meter flat walkway, at self-selected speed, wearing comfortable shoes. Measurement set-up involves a mobile-phone camera, attached to a torso-mounted strap, pointing downwards, a walkway with parallel straight lines outlining progression direction, and printed strips placed along the long axis of the foot. Several methods were evaluated to find the best way to detect initial contact, flat foot and mid stance phases. Our new methodology may present a solution for mobile gait analysis, which could be used at home, or community / outdoor environment, basically outside of the sophisticated well equipped and expensive labs. © 2020 the Authors. Published by Elsevier B.V.

关键词： Image processing

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