Search Results - theory of parallel and distributed computation

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  1. 1

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

    ISSN: 0890-5401, 1090-2651
    Published: San Diego, CA Elsevier Inc 01.11.2004
    Published 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
  2. 2

    Partial characterizations of networks supporting shortest path interval labeling schemes by Narayanan, Lata, Shende, Sunil

    ISSN: 0028-3045, 1097-0037
    Published: New York Wiley Subscription Services, Inc., A Wiley Company 01.09.1998
    Published 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
  3. 3

    Past and present (and future) of parallel and distributed computation in (constraint) logic programming by FIORETTO, FERDINANDO, PONTELLI, ENRICO

    ISSN: 1471-0684, 1475-3081
    Published: Cambridge, UK Cambridge University Press 01.09.2018
    Published 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
  4. 4

    Implementing communicating processes in the event of interface difference by Burton, J., Koutny, M., Pappalardo, G.

    ISBN: 076951071X, 9780769510712
    Published: 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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    Conference Proceeding
  5. 5

    Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs by Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

    Published: 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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    Conference Proceeding
  6. 6
  7. 7

    Conditional Hardness Results for Massively Parallel Computation from Distributed Lower Bounds by Ghaffari, Mohsen, Kuhn, Fabian, Uitto, Jara

    ISSN: 2575-8454
    Published: 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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    Conference Proceeding
  8. 8

    Parallel Computation of Component Trees on Distributed Memory Machines by Gotz, Markus, Cavallaro, Gabriele, Geraud, Thierry, Book, Matthias, Riedel, Morris

    ISSN: 1045-9219, 1558-2183
    Published: 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
  9. 9

    A massively parallel tensor contraction framework for coupled-cluster computations by Solomonik, Edgar, Matthews, Devin, Hammond, Jeff R., Stanton, John F., Demmel, James

    ISSN: 0743-7315, 1096-0848
    Published: Elsevier Inc 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
  10. 10

    Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics by Dathathri, Roshan, Gill, Gurbinder, Hoang, Loc, Jatala, Vishwesh, Pingali, Keshav, Nandivada, V. Krishna, Dang, Hoang-Vu, Snir, Marc

    ISSN: 2641-7936
    Published: 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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    Conference Proceeding
  11. 11

    Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation by Gu, Rong, Zuo, Zhiqiang, Jiang, Xi, Yin, Han, Wang, Zhaokang, Wang, Linzhang, Li, Xuandong, Huang, Yihua

    ISSN: 1045-9219, 1558-2183
    Published: 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
  12. 12

    Parallel Spectral Clustering in Distributed Systems by Chen, Wen-Yen, Song, Yangqiu, Bai, Hongjie, Lin, Chih-Jen, Chang, Edward Y.

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Published: 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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    Journal Article
  13. 13

    SparkDQ: Efficient generic big data quality management on distributed data-parallel computation by Gu, Rong, Qi, Yang, Wu, Tongyu, Wang, Zhaokang, Xu, Xiaolong, Yuan, Chunfeng, Huang, Yihua

    ISSN: 0743-7315, 1096-0848
    Published: Elsevier Inc 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
  14. 14

    Distributed Graph Computation Meets Machine Learning by Xiao, Wencong, Xue, Jilong, Miao, Youshan, Li, Zhen, Chen, Cheng, Wu, Ming, Li, Wei, Zhou, Lidong

    ISSN: 1045-9219, 1558-2183
    Published: 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
  15. 15

    A hybrid MPI–OpenMP scheme for scalable parallel pseudospectral computations for fluid turbulence by Mininni, Pablo D., Rosenberg, Duane, Reddy, Raghu, Pouquet, Annick

    ISSN: 0167-8191, 1872-7336
    Published: Elsevier B.V 01.06.2011
    Published 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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    Journal Article
  16. 16

    Delay-Optimal Distributed Computation Offloading in Wireless Edge Networks by Gong, Xiaowen, Chen, Mingyu, Li, Dongsheng, Cao, Yang

    ISSN: 1063-6692, 1558-2566
    Published: IEEE 01.08.2024
    Published 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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    Journal Article
  17. 17

    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 by Rolim, José

    ISBN: 3540643591, 3662194554, 9783662194553, 9783540643593
    ISSN: 0302-9743, 1611-3349
    Published: 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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    eBook Conference Proceeding
  18. 18
  19. 19

    Towards Massively Parallel Computations in Algebraic Geometry by Böhm, Janko, Decker, Wolfram, Frühbis-Krüger, Anne, Pfreundt, Franz-Josef, Rahn, Mirko, Ristau, Lukas

    ISSN: 1615-3375, 1615-3383
    Published: New York Springer US 01.06.2021
    Published 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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    Journal Article
  20. 20

    MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems by Hsia, Samuel, Golden, Alicia, Acun, Bilge, Ardalani, Newsha, DeVito, Zachary, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean

    Published: 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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    Conference Proceeding