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检索条件"任意字段=5th International Conference on Algorithms and Architectures for Parallel Processing"

共 3284 条记录，以下是411-420 订阅

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Multi-color difference schemes of Helmholtz equation and its parallel fast solver over 3-D dodecahedron partitions

引用

6th international conference on algorithms and architectures for parallel processing

作者： Sun, JC Chinese Acad Sci Inst Software R&D Ctr Parallel Software Beijing 100080 Peoples R China

In this paper, the problem of partitioning parallel dodecahedrons in 3D is examined. Two schemes are introduced and their convergence rate discussed. A parallel fast solver was implemented and tested experimentally, w... 详细信息

ISBN: (纸本)3540292357

关键词： parallel processing systems

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Skipping Unused Events to Speed Up Rollback-Recovery in Distributed Data-parallel CEP 5

Skipping Unused Events to Speed Up Rollback-Recovery in Dist...

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11th IEEE/ACM international conference on Utility and Cloud Computing (UCC-Companion) / 5th IEEE/ACM international conference on Big Data Computing, Applications and Technologies (BDCAT)

作者： Lima, Guilherme F. Endler, Markus Slo, Ahmad Bhowmik, Sukanya Rothermel, Kurt Pontificial Catholic Univ Rio De Janeiro Dept Informat Rio De Janeiro Brazil Univ Stuttgart Inst Parallel & Distributed Syst Stuttgart Germany

ISBN: (纸本)9781538655023

We propose two extensions for a state-of-the-art method of rollback-recovery in distributed CEP (complex event processing). In CEP, an operator network is used to search for patterns in events streams. Sometimes these operators fail and lose their state. Rollback-recovery is a method for dealing with such state losses. the type of rollback-recovery we consider is upstream backup, where the state of a failed operator is recovered by replaying to it the input events that led it to that state. these events are kept in upstream operators' memory buffers, which are trimmed continuously as the downstream operator progresses. the first extension we propose saves memory and speeds up recovery by avoiding to store and retransmit unnecessary events. the second extension makes the base method of upstream backup compatible with data-parallel CEP, allowing that the windows into which operators partition their input be processed in parallel. We evaluated the proposed extensions through experiments that showed a significant reduction in memory usage and recovery time at the expense of a negligible processing overhead during normal operation.

关键词： complex event processing fault-tolerance reliability recovery

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HIGHLY parallel HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH 24

HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEM...

引用

24th IEEE international conference on Image processing (ICIP)

作者： Hojati, Esmaeil Franche, Jean-Francois Coulombe, Stephane Vazquez, Carlos Ecole Technol Super Montreal PQ Canada

ISBN: (纸本)9781509021758

Rate-constrained motion estimation (RCME) is the most computationally intensive task of H.265/HEVC encoding. Massively parallel architectures, such as graphics processing units (GPUs), used in combination with a multi-core central processing unit (CPU), provide a promising computing platform to achieve fast encoding. However, the dependencies in deriving motion vector predictors (MVPs) prevent the parallelization of prediction units (PUs) processing at a frame level. Moreover, the conditional execution structure of typical fast search algorithms is not suitable for GPUs designed for data-intensive parallel problems. In this paper, we propose a novel highly parallel RCME method based on multiple temporal motion vector (MV) predictors and a new fast nested diamond search (NDS) algorithm well-suited for a GPU. the proposed framework provides fine-grained encoding parallelism. Experimental results show that our approach provides reduced GPU load with better BD-Rate compared to prior full search parallel methods based on a single MV predictor.

关键词： HEVC rate-constrained motion estimation GPU massively parallel architecture

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Fast mapping algorithm with optimized placement selection for CGRA 5

Fast mapping algorithm with optimized placement selection fo...

引用

2024 5th international conference on Electrical, Electronic Information and Communication Engineering, EEICE 2024

作者： He, Tengyuan Lu, Weijun Li, Pengju School of Integrated Circuits Beijing University of Posts and Telecommunications Beijing100876 China

In the field of parallel computing, Coarse-Grained Reconfigurable Architecture (CGRA) is a promising technique for processing parallel applications. Application kernels are mapped on CGRA through the calculation of mapping algorithms. this paper presents a Fast Mapping Algorithm with Optimized Placement Selection for mapping application kernels on CGRAs. the mapping algorithm incorporates heuristic optimizations for processing element (PE) selection based on Hycube Mapping Algorithm and reduces the redundant extra calculation procedures to achieve fast DFG mapping. In algorithm tests from CGRA-Bench, the proposed algorithm demonstrates an average 70.83% reduction in mapping computation time compared with Hycube Mapping Algorithm. Moreover, the quality of mapping results, as measured by the initiation interval (II), remains largely consistent with Hycube Mapping Algorithm, thereby significantly reducing computation time and improving the mapping efficiency. © Published under licence by IOP Publishing Ltd.

关键词： Reconfigurable architectures

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Energy-Aware Query processing on a parallel Database Cluster Node 16th

Energy-Aware Query Processing on a Parallel Database Cluster...

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16th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Roukh, Amine Bellatreche, Ladjel Tziritas, Nikos Ordonez, Carlos Univ Mostaganem Mostaganem Algeria Univ Poitiers LIAS ISAE ENSMA Poitiers France Chinese Acad Sci Shenzhen Peoples R China Univ Houston Houston TX USA

ISBN: (纸本)9783319495835;9783319495828

In the last few years, we have been seeing a significant increase in research about the energy efficiency of hardware and software components in both centralized and parallel platforms. In data centers, DBMSs are one of the major energy consumers, in which, a large amount of data is queried by complex queries running daily. Having green nodes is a pre-condition to design an energy-aware parallel database cluster. Generally, the most existing DBMSs focus on high-performance during query optimization phase, while usually ignoring the energy consumption of the queries. In this paper, we propose a methodology, supported by a tool called EnerQuery, that makes nodes of parallel database clusters saving energy when optimizing queries. To show its effectiveness, we implement our proposal on the top of PostgreSQL DBMS query optimizer. A mathematical cost model based on a machine learning technique is defined and used to estimate the energy consumption of SQL queries.

关键词： Energy utilization

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Digital Predistortion of parallel Wiener-Type Systems Using the RPEM and NFxLMS algorithms

Digital Predistortion of Parallel Wiener-Type Systems Using ...

引用

9th international conference on Signal processing

作者： Gan, Li Abd-Elrady, Emad Graz Univ Technol Christian Doppler Lab Nonlinear Signal Proc A-8010 Graz Austria

ISBN: (纸本)9781424421787

this paper considers the problem of digital predistortion of parallel Wiener-type systems using the Recursive Prediction Error Method (RPEM) and the Nonlinear Filtered-x Least Mean Squares (NFxLMS) algorithms. the RPEM algorithm is used for the identification of the parallel Wiener-type system and the FIR filter that represents the inverse of the linear kernels. then the estimate of the nonlinear kernels and the inverse of the linear kernels are used to construct the predistorter as done in [1]. On the other hand, the NFxLMS algorithm is used to directly estimate the coefficients of the predistorter modeled using Volterra series. A comparative simulation study between the two algorithms is given in this paper

关键词： FIR filters

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Optimized GPU Implementation for Dynamic Programming in Image Data processing 35

Optimized GPU Implementation for Dynamic Programming in Imag...

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35th IEEE international Performance Computing and Communications conference (IPCCC)

作者： Ke, Jing Bednarz, Tomasz Sowmya, Arcot Univ New South Wales DATA CSIRO 61 Sydney NSW Australia CSIRO DATA 61 Sydney NSW Australia Univ New South Wales Sch Comp Sci & Engn Sydney NSW Australia

ISBN: (纸本)9781509052523

It is a trend now that computing power through parallelism is provided by multi-core systems or heterogeneous architectures for High Performance Computing (HPC) and scientific computing. Although many algorithms have been proposed and implemented using sequential computing, alternative parallel solutions provide more suitable and high performance solutions to the same problems. In this paper, three parallelization strategies are proposed and implemented for a dynamic programming based cloud smoothing application, using both shared memory and non-shared memory approaches. the experiments are performed on NVIDIA GeForce GT750m and Tesla K20m, two GPU accelerators of Kepler architecture. Detailed performance analysis is presented on partition granularity at block and thread levels, memory access efficiency and computational complexity. the evaluations described show high approximation of results with high efficiency in the parallel implementations, and these strategies can be adopted in similar data analysis and processing applications.

关键词： GPU parallel algorithms shared memory performance profile computational complexity dynamic programming image processing

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An Implementation of a Framework for Open Distributed Computing

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9th international conference on algorithms and architectures for parallel processing

作者： Chiang, Chia-Chu Univ Arkansas Dept Comp Sci Little Rock AR 72204 USA

ISBN: (纸本)9783642030949

In the sequential model of programming, instructions in a program are executed sequentially. Existing, programming languages are mainly designed for the sequential model. As the programming paradigm shifts from the sequential to distributed computing, existing sequential programming languages have their limitations. Nevertheless, the sequential languages are the languages which most of programmers are most familiar with. One of the motivations of this research is to implement a framework to support the implementations of distributed applications using Sequential programming languages Such as C/C++, COBOL, and Java. In this paper, we present an implementation of a framework for open distributed programming. Allowing programmers to write distributed programs in their favorite sequential programming languages makes the programming paradigm very unique to the existing programming paradigms.

关键词： Concurrency Distributed parallel Programming Heterogeneity Programming Paradigms

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parallelisation of the 1-D block filter algorithm to run on multiple DSPs

Parallelisation of the 1-D block filter algorithm to run on ...

引用

9th IEEE international conference on Electronics, Circuits and Systems

作者： Aziz, M Boussakta, S McLernon, DC Univ Leeds Sch Elect & Elect Engn Inst Integrated Informat Syst Leeds LS2 9JT W Yorkshire England

ISBN: (纸本)0780375963

parallel processing is a vital tool for many scientific and industrial applications where real time constraints apply;in many applications the use of parallel processing and multiprocessor platforms seems to be the favourable solution for achieving acceptable throughput. Hence parallel processing algorithms are vital tools to achieve a good trade off between hardware cost, system efficiency and power. In this paper, the one-dimensional generalised parallel block filter algorithm based on the overlap-add approach is implemented on multi-DSPs platform. the mathematical concept of the input stage, output stage and the generalised direct filter equation are given. Also the I-D parallel algorithm is shown and a suitable parallel architecture is presented.

关键词： parallel architectures

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Efficient parallel Algorithm for Optimal DAG Structure Search on parallel Computer with Torus Network 16th

Efficient Parallel Algorithm for Optimal DAG Structure Searc...

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16th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Honda, Hirokazu Tamada, Yoshinori Suda, Reiji Univ Tokyo Grad Sch Informat Sci & Technol Tokyo 1138656 Japan

ISBN: (纸本)9783319495835;9783319495828

the optimal directed acyclic graph search problem constitutes searching for a DAG with a minimum score, where the score of a DAG is defined on its structure. this problem is known to be NP-hard, and the state-of-the-art algorithm requires exponential time and space. It is thus not feasible to solve large instances using a single processor. Some parallel algorithms have therefore been developed to solve larger instances. A recently proposed parallel algorithm can solve an instance of 33 vertices, and this is the largest solved size reported thus far. In the study presented in this paper, we developed a novel parallel algorithm designed specifically to operate on a parallel computer with a torus network. Our algorithm crucially exploits the torus network structure, thereby obtaining good scalability. through computational experiments, we confirmed that a run of our proposed method using up to 20,736 cores showed a parallelization efficiency of 0.94 as compared to a 1296-core run. Finally, we successfully computed an optimal DAG structure for an instance of 36 vertices, which is the largest solved size reported in the literature.

关键词： Optimal DAG structure Optimal bayesian network structure parallel algorithm Distributed algorithm Torus network

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