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检索条件"任意字段=8th IEEE Symposium on Parallel and Distributed Processing"

共 835 条记录，以下是11-20 订阅

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On-the-fly detection of conjunctions of local predicates in distributed computations

On-the-fly detection of conjunctions of local predicates in ...

引用

8th ieee symposium on parallel and distributed processing

作者： Hurfin, M Mizuno, M Raynal, M Singhal, M IRISA - Campus de Beaulieu Rennes France

ISBN: (纸本)0818676833

Global predicate detection is a fundamental problem in distributed systems and finds applications in many domains such as testing and debugging distributed programs, this paper presents an efficient distributed algorithm to detect conjunctive form global predicates in distributed systems. the algorithm detects the first consistent global state that satisfies a given conjunction of local predicates. the algorithm is distributed because the predicate detection, efforts as well as the necessary information is equally distributed among the processes.

关键词： distributed computer systems

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Guaranteed intrusion removal from monitored distributed applications

Guaranteed intrusion removal from monitored distributed appl...

引用

8th ieee symposium on parallel and distributed processing

作者： Wu, WQ Spezialetti, M Gupta, R Univ of Pittsburgh Pittsburgh United States

ISBN: (纸本)0818676833

this paper presents on-line perturbation tracking and intrusion removal techniques which are designed to accommodate delays which occur due to monitoring activities. these accommodations eliminate the effect of monitoring intrusion on the execution behavior and the scheduling of the monitored computation. By maintaining an adjusted time view, the intrusion removal system preserves the execution order of processes and the message selection decisions that would have been made in an unmonitored execution.

关键词： distributed computer systems

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Cymbalo: An Efficient Graph processing Framework for Machine Learning 16

Cymbalo: An Efficient Graph Processing Framework for Machine...

引用

16th ieee ISPA / 17th ieee IUCC / 8th ieee BDCloud / 11th ieee SocialCom / 8th ieee SustainCom

作者： Tian, Xinhui Xie, Biwei Zhan, Jianfeng Chinese Acad Sci Inst Comp Technol State Key Lab Comp Architecture Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9781728111414

Due to the growth of data scale, distributed machine learning has become more important than ever. Some recent work, like TuX(2), show promising prospect in dealing with distributed machine learning by leveraging the power of graph computation, but still leave some key problems unsolved. In this paper, we propose Cymbalo, a new distributed graph processing framework for large-scale machine learning algorithms. To satisfy the specific characteristics of machine learning, Cymbalo employs a heterogeneity-aware data model, a hybrid computing model and a vector-aware programming model, to ensure small memory footprint, good computation efficiency and expressiveness. the experiment results show that Cymbalo outperforms Spark by 2.4x-3.2x, and PowerGraph by up to 5.8x. Moreover, Cymbalo can also outperform Angel, a recent parameter server system, by 1.6x-2.1x.

关键词： Large-scale machine learning Graph computation distributed processing Spark

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Linear time approximation schemes for parallel processor scheduling

Linear time approximation schemes for parallel processor sch...

引用

8th ieee symposium on parallel and distributed processing

作者： Kopidakis, Y Fayard, D Zissimopoulos, V Universite de Paris Sud Orsay France

ISBN: (纸本)0818676833

We present a general framework for approximation schemes on parallel processor scheduling. We propose epsilon-approximation algorithms for scheduling on identical, uniform and unrelated machines when the number of processors is fixed. For each of the three problems considered we perform grouping on job processing times in order to produce a transformed scheduling instance where the number of distinct task types is bounded. We optimally solve the corresponding mixed integer program and we prove that the optimal makespans for the initial and the transformed problems can differ at most by a factor of 1 + epsilon. the complexity of all epsilon-approximation algorithms is O(n), where n is the number of jobs to be scheduled.

关键词： parallel processing systems

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Generalized parallel selection in sorted matrices

Generalized parallel selection in sorted matrices

引用

8th ieee symposium on parallel and distributed processing

作者： Shen, H Griffith Univ Nathan Australia

ISBN: (纸本)0818676833

this paper presents a parallel algorithm running in time O(log m log* m(log log m + log(n/m))) time on an EREW PRAM with O(m/(log m log* m)) processors for the problem of selection in an m x n matric with sorted rows and columns, m less than or equal to n. Our algorithm generalizes the result of Sarnath and He [13] for selection in a sorted matrix of equal dimensions, and thus answers the opera question they posted. the algorithm is work-optimal when n greater than or equal to m log m, and near optimal within O(log log m) factor otherwise, We show that our algorithm can be generalized to solve the selection problem on or set of sorted matrices of arbitrary dimensions.

关键词： parallel processing systems

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DataFall: A Policy-driven Algorithm for Decentralized Placement and Reorganization of Replicated Data 16

DataFall: A Policy-driven Algorithm for Decentralized Placem...

引用

16th ieee ISPA / 17th ieee IUCC / 8th ieee BDCloud / 11th ieee SocialCom / 8th ieee SustainCom

作者： Moghaddam, Fereydoun Farrahi Li, Wubin Gherbi, Abdelouahed Ericsson Ericsson Res Montreal PQ Canada North China Univ Technol Cloud Comp Res Ctr Beijing Peoples R China ETS Dept Software & IT Engn Montreal PQ Canada

ISBN: (纸本)9781728111414

We present DataFall, a simple yet effective policy-driven algorithm for decentralized placement and reorganization of replicated data. Without relying on a centralized location for data mapping, DataFall efficiently distributes data objects across storage devices using a mechanism built on multiple hash functions. When producing the data placement, policies can be enforced at object level in a flexible manner. In addition, with minimum data movement, DataFall is capable of accommodating a wide variety of changes such as topology massive upgrade and reorganization. the advantages of DataFall over the state-of-the-art are demonstrated through an experimental evaluation in a set of selected scenarios.

关键词： policy-driven self-balancing decentralized placement hashing data replication object storage distributed systems

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An On-the-fly Scheduling Strategy for distributed Stream processing Platform 16

An On-the-fly Scheduling Strategy for Distributed Stream Pro...

引用

16th ieee ISPA / 17th ieee IUCC / 8th ieee BDCloud / 11th ieee SocialCom / 8th ieee SustainCom

作者： Wang, Wen'an Zhang, Chuang Chen, Xiaojun Li, Zhao Ding, Hong Wen, Xin Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China

ISBN: (纸本)9781728111414

distributed stream processing can accomplish real-time processing of continuous streaming big data to obtain valuable information with high velocity. To maintain continuously stable and efficient running of stream applications, however, continuous online scheduling operations are required in the context of highly dynamic data stream. For this reason, this paper proposes the on-the-fly scheduling strategy in a distributed stream processing environment, which dynamically predicts abnormal events through double exponential smoothing and adopts trafficaware active migration protocol to adjust the network routing structure on-the-fly to balance the inter-worker load. Moreover, an evaluation method is proposed to quantitatively analyze the various scheduling objectives. Finally, we commendably apply the scheduling strategy to a stream processing platform, which regards docker instance as basic scheduling units. Meanwhile, based on the platform and the evaluation method, we complete performance comparison experiments of the scheduling algorithm. the experimental results indicate that our algorithm has excellent performance in throughput of topology, average processing time and balance of task load, which is suitable for deployment in a distributed environment with large-scale nodes and tasks.

关键词： distributed stream processing prediction algorithm exponential smoothing traffic-aware migration evaluation method

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Scheduling of multiprocessor tasks for numerical applications

Scheduling of multiprocessor tasks for numerical application...

引用

8th ieee symposium on parallel and distributed processing

作者： Rauber, T Runger, G Universitaet des Saarlandes Saarlandes Germany

ISBN: (纸本)0818676833

We investigate the efficient implementation of algorithms with a two-level parallelism on distributed memory machines. We consider parallel specifications consisting of an upper level of multi-processor tasks each of which having an internal structure of uni-processor tasks. To achieve an optimal parallel execution time, the parallel execution of such a program requires an optimal scheduling of the multi-processor tasks and an appropriate treatment of uniprocessor tasks. In particular;we consider an important class of parallel programs that are generated within a specific parallel programming model designing group-SPMD programs for scientific computing. We show how the costs of data redistributions between M-tasks can be taken into consideration and how the special structure of the resulting program can be exploited by using a simple approximation algorithm with a provable good performance.

关键词： parallel processing systems

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FLAC Decoding Using GPU Acceleration 16

FLAC Decoding Using GPU Acceleration

引用

16th ieee ISPA / 17th ieee IUCC / 8th ieee BDCloud / 11th ieee SocialCom / 8th ieee SustainCom

作者： Ye, Haolei McCreath, Eric C. Australian Natl Univ Res Sch Comp Sci Canberra ACT Australia

ISBN: (纸本)9781728111414

Free Lossless Audio Codec (FLAC) format is a widely used format for audio storage. Using a lower performance single threaded approach, FLAC is easily decoded faster than the rate at which it is played at. However, if you wish to transcode or edit long FLAC audio files then decoding times using single thread CPU approaches becomes significant. the FLAC format contains a sequence of frames, these frames vary in size so start locations are unknown until the previous frame is decoded. this complicates parallelizing decoding. However, frames start with known fixed bit patterns and each frame contains a frame index, it is possible to locate and decode frames in parallel. In this paper, we present an approach that exploits this characteristic enabling all the frames to be decoded in parallel. this approach is implemented and evaluated using an NVIDIA GeForce (R) GTX 1080 graphics card showing a 5 times performance improvements than the widely used official implementation running on an Intel Core T i7-6770K CPU.

关键词： Audio FLAC Codec GPU Decoder CUDA Linear-predictive coding parallel processing Pascal GP104 Signal processing

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Acoustics Simulation on Sunway TaihuLight Based on Solving the Integral of Ffowcs Williams-Hawkings Equation 16

Acoustics Simulation on Sunway TaihuLight Based on Solving t...

引用

16th ieee ISPA / 17th ieee IUCC / 8th ieee BDCloud / 11th ieee SocialCom / 8th ieee SustainCom

作者： Zhu, Wenhao Ding, Bohan Zhang, Wu Xu, Kangle Shanghai Univ Sch Comp Engn & Sci Shanghai Peoples R China Shanghai Univ Shanghai Inst Appl Math & Mech Shanghai Peoples R China Shanghai Aircraft Design & Res Inst Gen Aerodynam Dept Shanghai Peoples R China

ISBN: (纸本)9781728111414

In this paper, we use the Ffowcs Williams-Hawkings (FW-H) equation of the penetrable surface to simulate the acoustic radiation problem of a monopole source in a three-dimensional uniform flow. In addition, parallel optimization was performed on the Sunway TaihuLight. Compared with the Intel CPU, the ideal acceleration effect was obtained. And the method of dividing the time window was used, which solved the shortage of the local data memory space of the slave core in the calculation process, achieved the local coupling calculation of the sound source and far-field sound pressure, and obtained ideal results. It is verified that the parallel algorithm has a good acceleration effect and scalability on the Sunway TaihuLight.

关键词： Sunway TaihuLight Ffowcs Williams-Hawkings equation monopole source parallel optimization local coupling

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