Search Results - "Parallel programming model"

LLM4VV: Evaluating Cutting-Edge LLMs for Generation and Evaluation of Directive-Based Parallel Programming Model Compiler Tests

Authors: Sollenberger, Zachariah Patel, Rahul Zada, Saieda Ali et al.

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, Emerging Technologies (cs.ET), Software Engineering, Emerging Technologies

Access URL: http://arxiv.org/abs/2507.21447

The MPI/OmpSs parallel programming model

Authors: Marjanović, Vladimir

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

Thesis Advisors: Labarta Mancho, Jesús, Gracia Calvo, Juan José

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/398135
https://dx.doi.org/10.5821/dissertation-2117-98109

A dependency-aware parallel programming model

Authors: Pérez Cáncer, Josep Maria

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

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Labarta Mancho, Jesús

Source: TDX (Tesis Doctorals en Xarxa)

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/286286
https://dx.doi.org/10.5821/dissertation-2117-95636

A Comparative Survey of Big Data Computing and HPC: From a Parallel Programming Model to a Cluster Architecture

Authors: Fei Yin Feng Shi

Source: International Journal of Parallel Programming. 50:27-64

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

Access URL: https://link.springer.com/article/10.1007/s10766-021-00717-y

Map-Balance-Reduce: An improved parallel programming model for load balancing of MapReduce

Authors: Jianjiang Li Yajun Liu Jian Pan et al.

Source: Future Generation Computer Systems. 105:993-1001

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

Access URL: https://www.sciencedirect.com/science/article/abs/pii/S0167739X17303710
https://dblp.uni-trier.de/db/journals/fgcs/fgcs105.html#LiLPZCW20
http://www.sciencedirect.com/science/article/pii/S0167739X17303710

A WCET-aware parallel programming model for predictability enhanced multi-core architectures

Authors: Reder, Simon Masing, Leonard Bucher, Harald et al.

Source: 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Subject Terms: ddc:620, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Engineering & allied operations

Performance Improvement of Parallel Programming Model Based on Parameterized Pipelined Map Reduce Approach

Authors: Thorat Abhinav Sudhir Dhole Poonam Balasaheb Abhang Vikram Kishor

Source: 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). :1-5

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

Access URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8869321
http://xplorestaging.ieee.org/ielx7/8848496/8868239/08869321.pdf?arnumber=8869321

A parallel programming model for ada

Authors: Ali, Hazem Pinho, Luís Miguel REPOSITÓRIO P.PORTO

Contributors: Ali, Hazem Pinho, Luís Miguel REPOSITÓRIO P.PORTO

File Description: application/pdf

Relation: 978-1-4503-1028-4

Availability: http://hdl.handle.net/10400.22/3754

Understanding the Performances of Sparse Compression Formats Using Data Parallel Programming Model

Authors: Mehrez, Ichrak Hamdi-Larbi, Olfa Dufaud, Thomas et al.

Contributors: Mehrez, Ichrak Hamdi-Larbi, Olfa Dufaud, Thomas et al.

Source: 2017 International Conference on High Performance Computing & Simulation (HPCS). :667-674

Subject Terms: [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences, 7. Clean energy

Access URL: https://ieeexplore.ieee.org/document/8035142
https://hal.archives-ouvertes.fr/hal-01726654
http://ieeexplore.ieee.org/document/8035142
https://dblp.uni-trier.de/db/conf/ieeehpcs/ieeehpcs2017.html#MehrezHDE17
http://dblp.uni-trier.de/db/conf/ieeehpcs/ieeehpcs2017.html#MehrezHDE17
https://doi.org/10.1109/HPCS.2017.103

CharmPy: A Python Parallel Programming Model

Authors: Laxmikant V. Kale Karthik Senthil Juan J. Galvez

Source: 2018 IEEE International Conference on Cluster Computing (CLUSTER). :423-433

Subject Terms: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

A cross-platform parallel programming model for fluid-film lubrication optimization

Authors: Hsin-Yi Chen Nen-Zi Wang

Source: Industrial Lubrication and Tribology. 70:1002-1011

Subject Terms: 02 engineering and technology, 0210 nano-technology

Access URL: https://www.emerald.com/insight/content/doi/10.1108/ILT-11-2016-0283/full/html

SAM: A Haskell parallel programming model for many-core systems

Authors: Sugwoo Byun Gyun Woo Xiao Liu et al.

Source: 2018 IEEE International Conference on Applied System Invention (ICASI). :822-826

Subject Terms: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

Access URL: https://ieeexplore.ieee.org/document/8394389

BEC: An Enhanced PGAS Parallel Programming Model.

Contributors: Xu, Yuesheng

Source: Conference: Proposed for presentation at the International Conference on Supercomputing, 2008 held November 15-21, 2008 in Austin, TX.

File Description: Medium: ED; Size: 17 p.

Access URL: http://www.osti.gov/scitech/servlets/purl/1145566

Evolution of a minimal parallel programming model

Authors: Ralph Butler Steven C. Pieper Ewing Lusk

Source: The International Journal of High Performance Computing Applications. 32:4-13

Subject Terms: 0103 physical sciences, 16. Peace & justice, 01 natural sciences

Access URL: https://www.osti.gov/biblio/1400403
https://dl.acm.org/doi/10.1177/1094342017703448
https://dblp.uni-trier.de/db/journals/ijhpca/ijhpca32.html#LuskBP18
https://journals.sagepub.com/doi/abs/10.1177/1094342017703448

Evaluating OpenMP 4.0's Effectiveness as a Heterogeneous Parallel Programming Model

Authors: Martineau, Matt McIntosh-Smith, Simon Gaudin, Wayne

Source: Martineau, M, McIntosh-Smith, S & Gaudin, W 2016, Evaluating OpenMP 4.0's Effectiveness as a Heterogeneous Parallel Programming Model . in Proceedings-2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016 ., 7529889, Institute of Electrical and Electronics Engineers (IEEE), pp. 338-347, 30th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2016, Chicago, United States, 23/05/16 . https://doi.org/10.1109/IPDPSW.2016.70

Subject Terms: Parallel computing, 9. Industry and infrastructure, 0202 electrical engineering, electronic engineering, information engineering, Application programming interfaces, OpenMP, High performance computing, 02 engineering and technology, Performance portability

File Description: application/pdf

Access URL: https://research-information.bris.ac.uk/ws/files/159710789/Evaluating_OpenMP_4.0s_Effectiveness_as_a_Heterogeneous_Parallel_Programming_Model.pdf
https://ieeexplore.ieee.org/document/7529889/
https://dblp.uni-trier.de/db/conf/ipps/ipdps2016w.html#MartineauMG16
http://ieeexplore.ieee.org/document/7529889/
https://www.computer.org/csdl/proceedings-article/ipdpsw/2016/3682a338/12OmNrAMEPR
https://research-information.bristol.ac.uk/files/85195342/Evaluating_OpenMP_4.0s_Effectiveness_as_a_Heterogeneous_Parallel_Programming_Model.pdf
https://doi.org/10.1109/IPDPSW.2016.70
http://www.scopus.com/inward/record.url?scp=84991577081&partnerID=8YFLogxK
https://hdl.handle.net/1983/1ca3fc11-49f1-4fa4-a818-d742568c9a4d

Adaptive Scheduling Framework for Multi - Core Systems Based on the Task - Parallel Programming Model

Authors: J. J. Song Y. J. Cao H. M. Lu et al.

Source: Journal of Engineering Science and Technology Review. 9:87-94

DySel: Lightweight Dynamic Selection for Kernel-based Data-parallel Programming Model

Authors: Hee-Seok Kim Wen-mei W. Hwu Li-Wen Chang

Source: Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems. :667-680

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Access URL: https://dblp.uni-trier.de/db/conf/asplos/asplos2016.html#ChangKH16
https://experts.illinois.edu/en/publications/dysel-lightweight-dynamic-selection-for-kernel-based-data-paralle-3

A Secured Large Heterogeneous HPC Cluster System using Massive Parallel Programming Model with Accelerated GPUs

Authors: Khalid Alsubhi

Source: International Journal of Advanced Computer Science and Applications. 11

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: http://thesai.org/Downloads/Volume11No5/Paper_49-A_Secured_Large_Heterogeneous_HPC_Cluster_System.pdf
https://thesai.org/Downloads/Volume11No5/Paper_49-A_Secured_Large_Heterogeneous_HPC_Cluster_System.pdf
https://thesai.org/Publications/ViewPaper?Volume=11&Issue=5&Code=IJACSA&SerialNo=49

A Parallel Programming Model Research Based on Heterogeneous Multi-core Embedded Processor

Authors: YuXin Cai ZhiWei Tang

Source: Advances in Intelligent Systems and Computing ISBN: 9783319987750

Subject Terms: 7. Clean energy

Access URL: https://rd.springer.com/chapter/10.1007/978-3-319-98776-7_9
https://link.springer.com/chapter/10.1007/978-3-319-98776-7_9

Parallel programming model for the Epiphany many-core coprocessor using threaded MPI

Authors: Dale R. Shires Song J. Park David A. Richie et al.

Source: Microprocessors and Microsystems. 43:95-103

Subject Terms: C.1.4, FOS: Computer and information sciences, D.1.3, Computer Science - Distributed, Parallel, and Cluster Computing, 1. No poverty, 0202 electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), 02 engineering and technology, 7. Clean energy

Access URL: http://manuscript.elsevier.com/S0141933116000375/pdf/S0141933116000375.pdf
http://arxiv.org/pdf/1506.05442
http://arxiv.org/abs/1506.05442
https://www.sciencedirect.com/science/article/abs/pii/S0141933116000375
https://dl.acm.org/doi/10.1016/j.micpro.2016.02.006
https://doi.org/10.1016/j.micpro.2016.02.006
https://dblp.uni-trier.de/db/journals/mam/mam43.html#RossRPS16
https://dblp.uni-trier.de/db/journals/corr/corr1506.html#RossRPS15
https://dl.acm.org/doi/pdf/10.1145/2768177.2768183