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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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Ultra-fast Poisson's equation solvers using wired-up processors for virtual devices architectures

Ultra-fast Poisson's equation solvers using wired-up process...

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international conference on Semiconductor

作者： S. Bara J. Zimmermann Lab. de Phys. des Composants a Semicond. CNRS Grenoble France

this paper presents two methods for solving a partial differential equation of the second order, with application to the well-known Poisson equation. these methods are aimed at making a high-speed hardware solver. the solutions presented will be a part of a hardware device simulator which is called "Virtual Device". We present simulation results to compare the two methods for solving this equation. We start with an iterative method (Gauss-Seidel method) and then end with a direct method (LU method).

关键词： Poisson equations Hardware parallel processing Iterative methods Gaussian processes Computational modeling Acceleration Iterative algorithms Partial differential equations Buildings

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A heterogeneous parallel accelerator for image analysis and radar signal processing

A heterogeneous parallel accelerator for image analysis and ...

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Annual Hawaii international conference on System Sciences (HICSS)

作者： M. Anderson J.D. Yesberg A.J.S. Yakovleff D.A. Krnak P.C. Drewer C.R. Watson M. Cavaiuolo Defence Science and Technology Organisation Australia

the highly specialised Neural Accelerator Board (NAB), and the Shiva (a reconfigurable multiprocessor) are two architectures designed to augment general purpose workstations. the NAB uses custom VLSI components to perform weighted 10-bit fixed-point multiply/accumulate operations at a total rate of 20 giga-operations per second. the Shiva uses Intel i860 microprocessors to achieve a good balance of floating point, graphics, and integer performance. the two can be combined into a heterogeneous, reconfigurable multiprocessor, which has applications in image analysis and radar signal processing. this paper outlines the benefits of heterogeneity and reconfigurability. A description is given of the architectures of the NAB and the Shiva, with details of the proposed applications.< >

关键词： Image analysis Radar signal processing Computer architecture Signal processing algorithms Australia Workstations Microprocessors Acceleration Reduced instruction set computing Hardware

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Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows 1

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42nd German conference on Pattern Recognition, DAGM GCPR 2020 held in parallel with 25th international Symposium on Vision, Modeling, and Visualization, VMV 2020 and 10th Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2020

作者： Draxler, Felix Schwarz, Jonathan Schnörr, Christoph Köthe, Ullrich Heidelberg Collaboratory for Image Processing Heidelberg University Heidelberg Germany Visual Learning Lab Heidelberg University Heidelberg Germany Image and Pattern Analysis Group Heidelberg University Heidelberg Germany

ISBN: (数字)9783030712785

ISBN: (纸本)9783030712778

Deep Affine Normalizing Flows are efficient and powerful models for high-dimensional density estimation and sample generation. Yet little is known about how they succeed in approximating complex distributions, given the seemingly limited expressiveness of individual affine layers. In this work, we take a first step towards theoretical understanding by analyzing the behaviour of a single affine coupling layer under maximum likelihood loss. We show that such a layer estimates and normalizes conditional moments of the data distribution, and derive a tight lower bound on the loss depending on the orthogonal transformation of the data before the affine coupling. this bound can be used to identify the optimal orthogonal transform, yielding a layer-wise training algorithm for deep affine flows. Toy examples confirm our findings and stimulate further research by highlighting the remaining gap between layer-wise and end-to-end training of deep affine flows. © 2021, Springer Nature Switzerland AG.

关键词： Maximum likelihood estimation

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A customized GPU acceleration of the princeton ocean model

A customized GPU acceleration of the princeton ocean model

引用

international conference on Application Specific Systems (ASAP), architectures and Processors

作者： Shizhen Xu Xiaomeng Huang Yan Zhang Yong Hu Guangwen Yang Ministrv of Education Key Laboratory for Earth System Modeling Joint Center for Global Change Studies Beijing China

While GPU is becoming a compelling acceleration solution for a series of scientific applications, most existing work on climate models only achieved limited speedup. this is due to partial porting of the huge code and the memory bound inherence of these models. In this work, we design and implement a customized GPU-based acceleration of the Princeton Ocean Model (gpuPOM) based on mpiPOM, which is one of the parallel versions of the Princeton Ocean Model. Based on Nvidia's state-of-the-art GPU architectures (K20X and K40m), we rewrite the full mpiPOM model from the original Fortran version into the CUDA-C version. We present the GPU acceleration methods used in the gpuPOM, especially the techniques to ease its memory bound problem through better use of GPU's memory hierarchy. the experimental results indicate that the gpuPOM with one K40m GPU achieves from 6.3-fold to 16.7-fold speedup over different Intel multi-core CPUs and one K20X GPU achieves from 5.8-fold to 15.5-fold speedup.

关键词： Graphics processing units algorithms Meteorology Optimization Computational modeling Acceleration Instruction sets

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Improving QoS of audio and video packets in MPLS using network processors

Improving QoS of audio and video packets in MPLS using netwo...

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IEEE international conference on Networks

作者： B. Kaarthick N. Nagarajan S. Rajeev R. Joanna Angeline Sri Krishna College of Engineering and Technology Coimbatore India Coimbatore Institute of Engineering and Information Technology Coimbatore India Wipro Technologies Limited Chennai India Tata Consultancy Services Limited Chennai India

Growing bandwidth demand in the Internet requires new algorithms and architectures to provide a high degree of QoS. Further, to complicate the problem of Traffic Engineering, real time data processing requires more priority than non-real time data processing. In this paper, we present an effective solution for improving QoS of audio and video packets in MPLS networks under real time traffic conditions. the contribution of this work is two fold. First, we investigate the impact of increased traffic on QoS parameters under heavy loading conditions and further we propose an efficient routing mechanism based on active networking concepts [1] to satisfy QoS requirements of audio and video packets.

关键词： Multiprotocol label switching Telecommunication traffic Delay Bandwidth Protocols Application specific integrated circuits parallel processing Data processing Communication system traffic control Educational institutions

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Greedily using GPU capacity for data list processing in multicore-GPU platforms

Greedily using GPU capacity for data list processing in mult...

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international conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

作者： Carlos Alberto Martínez-Angeles Jorge Buenabad-Chávez Miguel Alfonso Castro-García José Luis Quiroz-Fabián Departamento de Computación CINVESTAV-IPN D.F. México Departamento de Ingeniería Eléctrica D.F México

We have designed data list processing for multicore-GPU platforms and significantly improved the performance of both numerical and symbolic applications. For the latter, a novel aspect of our design was the management and processing of new data dynamically generated within GPUs. this paper presents various optimisations to our first design [1] aimed to use more the GPU, through reducing communication between the host (a multicore) and the GPU, in order to improve performance further. We present experimental results for three applications with different granularities and access patterns. Performance was improved again, significantly in some cases; using multicore-GPU platforms efficiently may involve complex changes to software.

关键词： Graphics processing units Instruction sets Message systems Multicore processing Synchronization Memory management parallel processing

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Large-Scale Hydrodynamic Brownian Simulations on Multicore and Manycore architectures

Large-Scale Hydrodynamic Brownian Simulations on Multicore a...

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international Symposium on parallel and Distributed processing (IPDPS)

作者： Xing Liu Edmond Chow College of Computing Georgia Institute of Technology Atlanta Georgia USA

Conventional Brownian dynamics (BD) simulations with hydrodynamic interactions utilize 3n×3n dense mobility matrices, where n is the number of simulated particles. this limits the size of BD simulations, particularly on accelerators with low memory capacities. In this paper, we formulate a matrix-free algorithm for BD simulations, allowing us to scale to very large numbers of particles while also being efficient for small numbers of particles. We discuss the implementation of this method for multicore and many core architectures, as well as a hybrid implementation that splits the workload between CPUs and Intel Xeon Phi coprocessors. For 10,000 particles, the limit of the conventional algorithm on a 32 GB system, the matrix-free algorithm is 35 times faster than the conventional matrix based algorithm. We show numerical tests for the matrix-free algorithm up to 500,000 particles. For large systems, our hybrid implementation using two Intel Xeon Phi coprocessors achieves a speedup of over 3.5x compared to the CPU-only case. Our optimizations also make the matrix-free algorithm faster than the conventional dense matrix algorithm on as few as 1000 particles.

关键词： Vectors Computational modeling Sparse matrices Tensile stress Interpolation Mathematical model Heuristic algorithms

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GPU optimization of the SGM stereo algorithm

GPU optimization of the SGM stereo algorithm

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IEEE international conference on Intelligent Computer Communication and processing (ICCP)

作者： Istvan Haller Sergiu Nedevschi Department of Computer Science Technical University of Cluj Napoca Cluj-Napoca Romania

GPU hardware architectures have evolved into a suitable platform for the hardware acceleration of complex computing tasks. Stereo vision is one such task where acceleration is desirable for robotic and automotive systems. Much research was invested in developing stereo vision algorithms with increased quality, but real-time implementations are still lacking. In this work we focus on creating a real-time dense stereo reconstruction system. We selected the Semi-global Matching method as the basis of our system due to its high quality and reduced computational complexity. the Census transform is selected as the matching metric because our results show that it can reduce the matching errors for traffic images compared to classical solutions. We also present two modifications to the original Semi-Global algorithm to improve the sub-pixel accuracy and the execution time. the system was implemented and evaluated on a current generation GPU with a running time of 19ms for image having the resolution 512×383.

关键词： Measurement Real time systems Optimization Transforms Pixel parallel processing Pipelines

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TRUSTIE: Design of a Trustworthy Software Production Environment

TRUSTIE: Design of a Trustworthy Software Production Environ...

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IEEE international conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Huaimin Wang National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

Internet fundamentally changes the model of software development, the demands of software quality, and the process of software resource sharing. Internet- based environment for trustworthy software production is recognized as a key topic of software engineering in both academic and software industry. In this paper, the concepts and models of trustworthy software are introduced which dominate the design of Trustie environment. Trustie provides trustworthy software components sharing by an evolving software repository, and provides collaborative software development in a customizable development platform powered by a software production line framework. Finally the layered practices of research and application based on Trustie preliminarily demonstrate the effectiveness as well as the promising future of this environment.

关键词： Software Production Collaboration Internet Resource management Software engineering Programming

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A Vectorization Method of Export Branch for SIMD Extension

A Vectorization Method of Export Branch for SIMD Extension

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international conference on Computer and Information Science (ACIS)

作者： Jiafeng Zhu Rongcai Zhao Lin Han Yunlong Hao Lili Bai China National Digital Switching System Engineering and Technological Research Center Zhengzhou China

the main popular vectorization methods for the SIMD extension dig the parallelism of the programs relying on the compiler's data dependence analysis. But the data dependence analysis can not deal with the non-structured control flow statements. therefore, the up-to-date compilers are extremely limited to vectorize these statements. Here is a vectorization method of the export branch for the SIMD extension, which can automatically and effectively vectorize the export branch within the vector length. And the results of performance test show that this method can both fully ensure the semantic correctness of the control flow and exploit the parallelism of the data flow.

关键词： Vectors Optimization Program processors parallel processing Arrays Acceleration Transforms

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