Search Results - Stream Programming Model

A Geometric Programming Model for Optimal Allocation of Stream Dissolved Oxygen

Authors: Ecker, J. G.

Source: Management Science, 1975 Feb 01. 21(6), 658-668.

Access URL: https://www.jstor.org/stable/2629599

Factors affecting the presence of Arctic charr in streams based on a jittered binary genetic programming model

Authors: Ali Danandeh Mehr Jaakko Erkinaro Jan Hjort et al.

Source: Ecological Indicators, Vol 142, Iss , Pp 109203- (2022)

Subject Terms: Ecohydrological modelling, Scarce data, Genetic Programming, Arctic Charr, Jittering, Ecology, QH540-549.5

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X22006756; https://doaj.org/toc/1470-160X

Access URL: https://doaj.org/article/8b2e2e88f7c046e3a35911ff6e68ffa8

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Toward a Push-based Stream Programming Model with AIMSS: An Active In-Memory Storage System Approach

Authors: MARCU, Ovidiu-Cristian DANOY, Grégoire BOUVRY, Pascal

Subject Terms: in-memory systems, streaming, ml/ai applications, hpc infrastructure, unified storage and compute, push-based streaming model, Engineering, computing & technology, Computer science, Ingénierie, informatique & technologie, Sciences informatiques

Relation: SERENITY; https://orbilu.uni.lu/handle/10993/61906; info:hdl:10993/61906

Availability: https://orbilu.uni.lu/handle/10993/61906
https://orbilu.uni.lu/bitstream/10993/61906/1/aimss-push-model-system-vision-paper-final.pdf

An efficient execution model for reactive stream programs

Authors: Nguyen, Vu Thien Nga

Subject Terms: 005.1, reactive stream programming, scheduling, parallel systems, distributed systems, performance, throughput, latency

Access URL: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666437

Mapping OpenMP concepts to the stream programming model

Authors: Xiaoguang Ren Yisong Lin Tao Tang

Source: 2010 5th International Conference on Computer Science & Education. :1900-1905

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5593822&contentType=Conference+Publications
http://ieeexplore.ieee.org/iel5/5585058/5593391/05593822.pdf

Achieving Multi-Level Parallelism in the Filter-Labeled Stream Programming Model

Authors: Daniel Fireman Renato Ferreira Wagner Meira et al.

Source: 2008 37th International Conference on Parallel Processing. :287-294

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Stochastic Programming Model for Water Quality Management in a River

Authors: Lohani, B. N. Thanh, N. C.

Source: Journal (Water Pollution Control Federation), 1978 Sep 01. 50(9), 2175-2182.

Access URL: https://www.jstor.org/stable/25040125

Optimizing Stencil Application on Multi-thread GPU Architecture Using Stream Programming Model

Authors: Tang Tao Zhang Ying Wang Gui-bin et al.

Source: Lecture Notes in Computer Science ISBN: 9783642119491

Access URL: https://link.springer.com/10.1007/978-3-642-11950-7_21
https://dblp.uni-trier.de/db/conf/arcs/arcs2010.html#FangTWTZ10
https://rd.springer.com/chapter/10.1007/978-3-642-11950-7_21
https://link.springer.com/chapter/10.1007%2F978-3-642-11950-7_21

K-Model: A New Computational Model for Stream Processors

Authors: Capannini G. Silvestri F. Baraglia R.

Source: ISTI Technical reports, 2010
12th IEEE International Conference on High Performance Computing and Communications, pp. 239–246, Melbourne, Australia, 1-3 September 2010
info:cnr-pdr/source/autori:Capannini G.; Silvestri F.; Baraglia R./congresso_nome:12th IEEE International Conference on High Performance Computing and Communications/congresso_luogo:Melbourne, Australia/congresso_data:1-3 September 2010/anno:2010/pagina_da:239/pagina_a:246/intervallo_pagine:239–246

Subject Terms: Computer Systems Organization. GENERAL Modeling of computer architecture, Modeling of computer architecture, Computational model, Stream programming, GPU, 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, Modeling, Parallel algorithms, Parallel processing, 01 natural sciences

File Description: application/pdf

Access URL: https://publications.cnr.it/doc/294504
http://www.cnr.it/prodotto/i/294504
http://didawiki.di.unipi.it/lib/exe/fetch.php/dm/abstract.capannini.pdf
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005581343
https://www.di.unipi.it/~capannin/pdf/2305385631.pdf
http://doi.org/10.1109/HPCC.2010.22
https://dblp.uni-trier.de/db/conf/hpcc/hpcc2010.html#CapanniniSB10
https://doi.org/10.1109/HPCC.2010.22
https://hdl.handle.net/11573/1572875
https://doi.org/10.1109/HPCC.2010.22

Estimation of Manning Roughness Coefficient in Alluvial Rivers with Bed Forms Using Soft Computing Models.

Authors: Yarahmadi, Mohammad Bahrami Parsaie, Abbas Shafai-Bejestan, Mahmood et al.

Source: Water Resources Management; Jul2023, Vol. 37 Issue 9, p3563-3584, 22p

Subject Terms: RIVER channels, ALLUVIAL streams, SOFT computing, SUPPORT vector machines, GENETIC programming, FROUDE number

Programming Models for Correct and Modular Distributed Systems

Authors: Laddad, Shadaj Ramnivas

Subject Terms: Computer science, Computer engineering, Information technology

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/2620x3h4
https://escholarship.org/content/qt2620x3h4/qt2620x3h4.pdf

Arc: An IR for batch and stream programming

Authors: Kroll, Lars Segeljakt, Klas Schulte, Christian, Professor et al.

Source: Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI). :53-58

Subject Terms: Data analytics, Intermediate representation, Stream processing

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262617
https://doi.org/10.1145/3315507.3330199

A New Multi-Objective Genetic Programming Model for Meteorological Drought Forecasting.

Authors: Reihanifar, Masoud Danandeh Mehr, Ali Tur, Rifat et al.

Source: Water (20734441); Oct2023, Vol. 15 Issue 20, p3602, 13p

Subject Terms: DROUGHT forecasting, GENETIC programming, ATMOSPHERIC models, WATER management, GENETIC models, WATER resources development

Geographic Terms: TURKEY

Genetic programming model for forecast of short and noisy data.

Authors: Sivapragasam, C. Vincent, P. Vasudevan, G.

Source: Hydrological Processes; 1/15/2007, Vol. 21 Issue 2, p266-272, 7p

Subject Terms: STREAMFLOW, FORECASTING, ARTIFICIAL neural networks, HYDROLOGIC models, GENETIC programming, STREAM measurements, FILTERING software, ARTIFICIAL intelligence, COMPUTER programming

Running stream-like programs on heterogeneous multi-core systems

Authors: Carpenter, Paul (Paul Matthew)

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Ayguadé i Parra, Eduard, Ramírez Bellido, Alejandro

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: OMPSS, Streaming, Multi-core, Heterigbeiys

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/84186
https://dx.doi.org/10.5821/dissertation-2117-94642

Incorporating daily flood control objectives into a monthly stochastic dynamic programming model for a hydroelectric complex

Contributors: Druce, D [British Columbia Hydro and Power Authority, Vancouver, British Columbia (Canada)]

Source: Water Resources Research; (USA); 26:1

File Description: Medium: X; Size: Pages: 5-11

Access URL: http://www.osti.gov/scitech/biblio/6568848

An Inexact Chance-constrained Quadratic Programming Model for Stream Water Quality Management.

Authors: Qin, X. S. Huang, G. H.

Source: Water Resources Management; Mar2009, Vol. 23 Issue 4, p661-695, 35p, 3 Charts, 8 Graphs

Subject Terms: WATER quality management, QUADRATIC programming, WATER supply, WATER conservation, WASTEWATER treatment, WASTE minimization

Multiple-Family Group Intervention Programming to Improve Mental Health of Adolescents Living With HIV in Ghana: An Implementation Science Approach

Contributors: Dorothy Serwaa Boakye, Ms

Source: Multiple-Family Group Intervention Programming to Improve Mental Health of Adolescents Living With HIV/AIDS in Ghana: An Implementation Science Study Protocol.
Boakye DS, Adjorlolo S. Stakeholder perspectives on contextual barriers to the successful implementation of multiple family group therapy in the Lower Manya Krobo District, Ghana: a qualitative study. BMJ Open. 2025 Sep 8;15(9):e105448. doi: 10.1136/bmjopen-2025-105448.
Boakye DS, Adjorlolo S. Multiple-family group intervention programming to improve mental health of adolescents living with HIV/AIDS in Ghana: An implementation science study protocol. PLoS One. 2025 Jun 12;20(6):e0325854. doi: 10.1371/journal.pone.0325854. eCollection 2025.

A Fuzzy Robust Nonlinear Programming Model for Stream Water Quality Management.

Authors: Zhu, H. Huang, G. H. Guo, P. et al.

Source: Water Resources Management; Nov2009, Vol. 23 Issue 14, p2913-2940, 28p

Subject Terms: WATER quality management, WASTEWATER treatment, FUZZY expert systems, NONLINEAR programming

Geographic Terms: ANHUI Sheng (China), CHINA