Výsledky vyhledávání - Stream Programming Model

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  1. 1

    Inexact Chance-constrained Quadratic Programming Model for Stream Water Quality Management Autor Qin, X. S, Huang, G. H

    ISSN: 0920-4741, 1573-1650
    Vydáno: Dordrecht Dordrecht : Springer Netherlands 01.03.2009
    Vydáno v Water resources management (01.03.2009)
    “… In this study, an inexact chance-constrained quadratic programming (ICCQP) model was developed for stream water quality management…”
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  2. 2

    A recourse-based nonlinear programming model for stream water quality management Autor Li, Y. P., Huang, G. H.

    ISSN: 1436-3240, 1436-3259
    Vydáno: Berlin/Heidelberg Springer-Verlag 01.02.2012
    “…A recourse-based nonlinear programming (RBNP) method is developed for stream water quality management under uncertainty…”
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  3. 3

    A Fuzzy Robust Nonlinear Programming Model for Stream Water Quality Management Autor Zhu, H., Huang, G. H., Guo, P., Qin, X. S.

    ISSN: 0920-4741, 1573-1650
    Vydáno: Dordrecht Springer Netherlands 01.11.2009
    Vydáno v Water resources management (01.11.2009)
    “…An interval-parameter fuzzy robust nonlinear programming (IFRNP) approach was developed for stream water quality management under uncertainty…”
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  4. 4

    An improved gene expression programming model for streamflow forecasting in intermittent streams Autor Danandeh Mehr, Ali

    ISSN: 0022-1694, 1879-2707
    Vydáno: Elsevier B.V 01.08.2018
    Vydáno v Journal of hydrology (Amsterdam) (01.08.2018)
    “… In this study, genetic algorithm (GA) was combined with gene expression programming (GEP) as a new hybrid model for month ahead streamflow forecasting in an intermittent stream…”
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  5. 5

    Achieving Multi-Level Parallelism in the Filter-Labeled Stream Programming Model Autor Teodoro, George, Fireman, Daniel, Guedes, Dorgival, Meira, Wagner, Ferreira, Renato

    ISSN: 0190-3918
    Vydáno: IEEE 01.09.2008
    “… Anthill is based on the filter-stream model; in this model, applications are decomposed into a set of filters communicating through streams, which has already been shown to be efficient…”
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  6. 6

    A stochastic dynamic programming model for stream water quality management Autor Mujumdar, P. P., Saxena, Pavan

    ISSN: 0256-2499, 0973-7677
    Vydáno: 01.10.2004
    Vydáno v Sadhana (Bangalore) (01.10.2004)
    “…This paper deals with development of a seasonal fraction-removal policy model for waste load allocation in streams addressing uncertainties due to randomness and fuzziness…”
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  7. 7

    Logical reconfiguration of reconfigurable manufacturing systems with stream of variations modelling: a stochastic two-stage programming and shortest path model Autor Kristianto, Yohanes, Gunasekaran, Angappa, Jiao, Jianxin

    ISSN: 0020-7543, 1366-588X
    Vydáno: London Taylor & Francis 04.03.2014
    “… Since the RMS must be flexible for different job orders, the design of RMS requires diagnostic methodology and stream of variations (SoV…”
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  8. 8

    An Inexact Chanee-Constrained Quadratic Programming Model for Stream Water Quality Management Autor Qin, X S, Huang, CH

    ISSN: 0920-4741
    Vydáno: 01.03.2009
    Vydáno v Water resources management (01.03.2009)
    “… Water quality models are used to address the relationships between the pollutant loadings and environmental responses in a stream, and analyze the potential impacts of alternative pollution control plans…”
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  9. 9

    A model-based framework for building extensible, high performance stream processing middleware and programming language for IBM InfoSphere Streams Autor Gedik, Buğra, Andrade, Henrique

    ISSN: 0038-0644, 1097-024X
    Vydáno: Blackwell Publishing Ltd 01.11.2012
    Vydáno v Software, practice & experience (01.11.2012)
    “…‐grade stream processing middleware (IBM's InfoSphere Streams) its runtime and language (SPL) compiler. The model…”
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  10. 10

    Factors affecting the presence of Arctic charr in streams based on a jittered binary genetic programming model Autor Danandeh Mehr, Ali, Erkinaro, Jaakko, Hjort, Jan, Torabi Haghighi, Ali, Ahrari, Amirhossein, Korpisaari, Maija, Kuusela, Jorma, Dempson, Brian, Marttila, Hannu

    ISSN: 1470-160X, 1872-7034
    Vydáno: Elsevier Ltd 01.09.2022
    Vydáno v Ecological indicators (01.09.2022)
    “…•A novel evolutionary model (JBGP) was developed.•The JBGP classifies the presence of Arctic charr in the Teno River catchment…”
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  11. 11

    Compiling for stream processing Autor Das, Abhishek, Dally, William J., Mattson, Peter

    Vydáno: ACM 01.09.2006
    “…This paper describes a compiler for stream programs that efficiently schedules computational kernels and stream memory operations, and allocates on-chip storage…”
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  12. 12

    Optimizing modulo scheduling to achieve reuse and concurrency for stream processors Autor Wang, Li, Xue, Jingling, Yang, Xuejun

    ISSN: 0920-8542, 1573-0484
    Vydáno: Boston Springer US 01.03.2012
    Vydáno v The Journal of supercomputing (01.03.2012)
    “…Both reuse and concurrency are performance-critical for stream processors. When applying loop unrolling and software pipelining separately to stream-level loops, either reuse or concurrency or both may be inadequately exploited…”
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  13. 13

    Flowgraph stream parallel programming: Language, process model, and computer implementation Autor Kutepov, V. P., Malanin, V. N., Pankov, N. A.

    ISSN: 1064-2307, 1555-6530
    Vydáno: Dordrecht SP MAIK Nauka/Interperiodica 01.02.2012
    “…A description of a flowgraph stream parallel programming language is given that was designed for the effective support of various forms of parallelism in complicated computational programs…”
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  14. 14

    Mapping OpenMP concepts to the stream programming model Autor Tao Tang, Yisong Lin, Xiaoguang Ren

    ISBN: 1424460026, 9781424460021
    Vydáno: IEEE 01.08.2010
    “… Stream programming model is a new kind of parallel programming model for stream architectures…”
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  15. 15

    A Simulation-Based Linear Fractional Programming Model for Adaptable Water Allocation Planning in the Main Stream of the Songhua River Basin, China Autor Fu, Qiang, Li, Linqi, Li, Mo, Li, Tianxiao, Liu, Dong, Cui, Song

    ISSN: 2073-4441, 2073-4441
    Vydáno: Basel MDPI AG 10.05.2018
    Vydáno v Water (Basel) (10.05.2018)
    “… A simulation-based linear fractional programming (SLFP) model, which integrates a runoff simulation model (RSM…”
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  16. 16

    Exploiting loop-dependent Stream Reuse for stream processors Autor Yang, Xuejun, Zhang, Ying, Xue, Jingling, Rogers, Ian, Li, Gen, Wang, Guibin

    Vydáno: ACM 01.10.2008
    “…The memory access limits the performance of stream processors. By exploiting the reuse of data held in the Stream Register File (SRF…”
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  17. 17

    A Safe and User-Friendly Graphical Programming Model for Parallel Stream Processing Autor Sydow, Stefan, Nabelsee, Mohannad, Parzyjegla, Helge, Herber, Paula

    ISSN: 2377-5750
    Vydáno: IEEE 01.03.2018
    “…, race conditions, which are hard to find due to their nondeterministic nature. In this paper, we present a graphical programming model for parallel stream processing…”
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  18. 18

    A mathematical programming model for optimal cut-off grade policy in open pit mining operations with multiple processing streams Autor Khan, Asif, Asad, Mohammad Waqar Ali

    ISSN: 1748-0930, 1748-0949
    Vydáno: Abingdon Taylor & Francis 15.03.2020
    “…Cut-off grade classifies the available supply of ore (valuable) and waste material within a mineralised deposit. Given the mining, processing and refining…”
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  19. 19

    An MPI-Stream Hybrid Programming Model for Computational Clusters Autor Mancini, Emilio P, Marsh, Gregory, Panda, Dhabaleswar K

    ISBN: 1424469872, 9781424469871
    Vydáno: IEEE 01.05.2010
    “…The MPI programming model hides network type and topology from developers, but also allows them to seamlessly distribute a computational job across multiple cores in both an intra and inter node fashion…”
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  20. 20

    Dynamic Scheduling of Irregular Stream Programs toward Many-Core Scalability Autor Min, Changwoo, Eom, Young Ik

    ISSN: 1045-9219, 1558-2183
    Vydáno: IEEE 01.06.2015
    “…The stream programming model has received much interest because it naturally exposes task, data, and pipeline parallelism…”
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