Suchergebnisse - theory of parallel and distributed computation

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    A well-structured framework for analysing petri net extensions von Finkel, Alain, McKenzie, Pierre, Picaronny, Claudine

    ISSN: 0890-5401, 1090-2651
    Veröffentlicht: San Diego, CA Elsevier Inc 01.11.2004
    Veröffentlicht in Information and computation (01.11.2004)
    “… Transition systems defined from recursive functions IN p → IN p are introduced and named WSNs, or well-structured nets. Such nets sit conveniently between …”
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    Journal Article
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    Partial characterizations of networks supporting shortest path interval labeling schemes von Narayanan, Lata, Shende, Sunil

    ISSN: 0028-3045, 1097-0037
    Veröffentlicht: New York Wiley Subscription Services, Inc., A Wiley Company 01.09.1998
    Veröffentlicht in Networks (01.09.1998)
    “… ‐efficient strategy for routing in distributed networks. In this scheme, an ordering of the vertices is chosen so that the edges of the network can be labeled with one or more subintervals of the vertex ordering …”
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    Journal Article
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    Past and present (and future) of parallel and distributed computation in (constraint) logic programming von FIORETTO, FERDINANDO, PONTELLI, ENRICO

    ISSN: 1471-0684, 1475-3081
    Veröffentlicht: Cambridge, UK Cambridge University Press 01.09.2018
    Veröffentlicht in Theory and practice of logic programming (01.09.2018)
    “… Declarative languages offer unprecedented opportunities for the use of parallelism to speed up execution. A declarative language, being not procedural, removes …”
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    Journal Article
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    Implementing communicating processes in the event of interface difference von Burton, J., Koutny, M., Pappalardo, G.

    ISBN: 076951071X, 9780769510712
    Veröffentlicht: IEEE 2001
    “… We present here an implementation relation which formalises the notion that a system built of communicating processes is an acceptable implementation of …”
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    Tagungsbericht
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    Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs von Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

    Veröffentlicht: IEEE 01.09.2021
    “… Graph sampling and random walk operations, capturing the structural properties of graphs, are playing an important role today as we cannot directly adopt …”
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    Tagungsbericht
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    Conditional Hardness Results for Massively Parallel Computation from Distributed Lower Bounds von Ghaffari, Mohsen, Kuhn, Fabian, Uitto, Jara

    ISSN: 2575-8454
    Veröffentlicht: IEEE 01.11.2019
    “… Our hardness results are conditioned on a widely believed conjecture in massively parallel computation about the complexity of the connectivity problem …”
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    Tagungsbericht
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    Parallel Computation of Component Trees on Distributed Memory Machines von Gotz, Markus, Cavallaro, Gabriele, Geraud, Thierry, Book, Matthias, Riedel, Morris

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.11.2018
    “… This work proposes a new efficient hybrid algorithm for the parallel computation of two particular component trees-the max- and min-tree-in shared and distributed memory environments …”
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    Journal Article
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    A massively parallel tensor contraction framework for coupled-cluster computations von Solomonik, Edgar, Matthews, Devin, Hammond, Jeff R., Stanton, John F., Demmel, James

    ISSN: 0743-7315, 1096-0848
    Veröffentlicht: Elsevier Inc 01.12.2014
    Veröffentlicht in Journal of parallel and distributed computing (01.12.2014)
    “… Precise calculation of molecular electronic wavefunctions by methods such as coupled-cluster requires the computation of tensor contractions, the cost of which has polynomial computational scaling …”
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    Journal Article
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    Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics von Dathathri, Roshan, Gill, Gurbinder, Hoang, Loc, Jatala, Vishwesh, Pingali, Keshav, Nandivada, V. Krishna, Dang, Hoang-Vu, Snir, Marc

    ISSN: 2641-7936
    Veröffentlicht: IEEE 01.09.2019
    “… Distributed graph analytics systems for CPUs, like D-Galois and Gemini, and for GPUs, like D-IrGL and Lux, use a bulk-synchronous parallel (BSP …”
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    Tagungsbericht
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    Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation von Gu, Rong, Zuo, Zhiqiang, Jiang, Xi, Yin, Han, Wang, Zhaokang, Wang, Linzhang, Li, Xuandong, Huang, Yihua

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.04.2021
    “… Specifically, we propose a data-parallel algorithm and a join-process-filter computation model for the CFL-reachability-based interprocedural analysis …”
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    Journal Article
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    Parallel Spectral Clustering in Distributed Systems von Chen, Wen-Yen, Song, Yangqiu, Bai, Hongjie, Lin, Chih-Jen, Chang, Edward Y.

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Veröffentlicht: Los Alamitos, CA IEEE 01.03.2011
    “… We parallelize both memory use and computation on distributed computers. Through an empirical study on a document data set of 193,844 instances and a photo data set of 2,121,863, we show that our parallel algorithm can effectively handle large problems …”
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    SparkDQ: Efficient generic big data quality management on distributed data-parallel computation von Gu, Rong, Qi, Yang, Wu, Tongyu, Wang, Zhaokang, Xu, Xiaolong, Yuan, Chunfeng, Huang, Yihua

    ISSN: 0743-7315, 1096-0848
    Veröffentlicht: Elsevier Inc 01.10.2021
    Veröffentlicht in Journal of parallel and distributed computing (01.10.2021)
    “… •A generic big data quality model and programming framework.•A set of distributed data-parallel quality management algorithms …”
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    Journal Article
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    Distributed Graph Computation Meets Machine Learning von Xiao, Wencong, Xue, Jilong, Miao, Youshan, Li, Zhen, Chen, Cheng, Wu, Ming, Li, Wei, Zhou, Lidong

    ISSN: 1045-9219, 1558-2183
    Veröffentlicht: New York IEEE 01.07.2020
    “… TuX 2 is a new distributed graph engine that bridges graph computation and distributed machine learning …”
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    Journal Article
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    A hybrid MPI–OpenMP scheme for scalable parallel pseudospectral computations for fluid turbulence von Mininni, Pablo D., Rosenberg, Duane, Reddy, Raghu, Pouquet, Annick

    ISSN: 0167-8191, 1872-7336
    Veröffentlicht: Elsevier B.V 01.06.2011
    Veröffentlicht in Parallel computing (01.06.2011)
    “… ► A two-level hybrid OpenMP/MPI parallelization scheme is presented for pseudospectral computations of fluid turbulence …”
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    Delay-Optimal Distributed Computation Offloading in Wireless Edge Networks von Gong, Xiaowen, Chen, Mingyu, Li, Dongsheng, Cao, Yang

    ISSN: 1063-6692, 1558-2566
    Veröffentlicht: IEEE 01.08.2024
    Veröffentlicht in IEEE/ACM transactions on networking (01.08.2024)
    “… In this paper, we explore distributed edge computation offloading (DECO) that offloads computation to distributed edge devices connected wirelessly, which perform the offloaded computation in parallel …”
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    Parallel and Distributed Processing: 10 IPPS/SPDP'98 Workshops Held in Conjunction with the 12th International Parallel Processing Symposium and 9th Symposium on Parallel and Distributed Processing Orlando, Florida, USA, March 30 – April 3, 1998 Proceedings von Rolim, José

    ISBN: 3540643591, 3662194554, 9783662194553, 9783540643593
    ISSN: 0302-9743, 1611-3349
    Veröffentlicht: Berlin, Heidelberg Springer Berlin Heidelberg 1998
    “… to parallel processing problems, randomized parallel computing, solving combinatorial optimization problems in parallel, PC based networks of workstations, fault-tolerant parallel and distributed systems …”
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    E-Book Tagungsbericht
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    Towards Massively Parallel Computations in Algebraic Geometry von Böhm, Janko, Decker, Wolfram, Frühbis-Krüger, Anne, Pfreundt, Franz-Josef, Rahn, Mirko, Ristau, Lukas

    ISSN: 1615-3375, 1615-3383
    Veröffentlicht: New York Springer US 01.06.2021
    Veröffentlicht in Foundations of computational mathematics (01.06.2021)
    “… In high-performance numerical simulation, on the other hand, transparent environments for distributed computing which follow the principle of separating coordination and computation have been a …”
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    MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems von Hsia, Samuel, Golden, Alicia, Acun, Bilge, Ardalani, Newsha, DeVito, Zachary, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean

    Veröffentlicht: IEEE 29.06.2024
    “… Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs …”
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    Tagungsbericht