Search Results - (("Task based parallel programming models") OR ("Task mass parallel programming models"))*

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  1. 1

    TEMANEJO - a debugger for task based parallel programming models by Brinkmann, Steffen, Gracia, José, Niethammer, Christoph, Keller, Rainer

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 20.12.2011
    Published in arXiv.org (20.12.2011)
    “…We present the program Temanejo, a debugger for task based parallelisation models such as StarSs. The challenge in debugging StarSs applications lies in the…”
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    Paper
  2. 2

    Performance Meets Programmabilty: Enabling Native Python MPI Tasks In PyCOMPSs by Elshazly, Hatem, Lordan, Francesc, Ejarque, Jorge, Badia, Rosa M.

    ISSN: 2377-5750
    Published: IEEE 01.03.2020
    “… We introduce an extension to PyCOMPSs, a high-level task-based parallel programming model for Python applications, to support tasks that use MPI natively as part of the task model…”
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    Conference Proceeding
  3. 3

    Runtime-Assisted Global Cache Management for Task-Based Parallel Programs by Manivannan, Madhavan, Pericas, Miquel, Papaefstathiou, Vassilis, Stenstrom, Per

    ISSN: 1556-6056, 1556-6064
    Published: IEEE 01.07.2017
    Published in IEEE computer architecture letters (01.07.2017)
    “…(s) available to runtime systems for task-based parallel programming models. We show that our proposed runtime-assisted global cache management approach outperforms…”
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    Journal Article
  4. 4

    Adaptive Task Scheduling and Resource Management Techniques for Improving Energy Efficiency on Multi-core Systems by Chen, Jing

    ISBN: 9798382231488
    Published: ProQuest Dissertations & Theses 01.01.2023
    “… However, it also complicates parallel application development. Task-based parallel programming models have been shown to be a powerful approach for developing parallel applications, allowing developers to express parallelism in the form of tasks…”
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    Dissertation
  5. 5

    Taskgrind: Heavyweight Dynamic Binary Instrumentation for Parallel Programs Analysis by Pereira, Romain, Stelle, George, Carribault, Patrick

    Published: IEEE 17.11.2024
    “… Their presence hints at a correctness error, particularly under asynchronous task-based parallel programming models…”
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    Conference Proceeding
  6. 6

    Runtime-Guided Cache Coherence Optimizations in Multi-core Architectures by Manivannan, Madhavan, Stenstrom, Per

    ISBN: 1479937991, 9781479937998
    ISSN: 1530-2075
    Published: IEEE 01.05.2014
    “…Emerging task-based parallel programming models shield programmers from the daunting task of parallelism management by delegating the responsibility of mapping and scheduling of individual tasks to the runtime system…”
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    Conference Proceeding
  7. 7

    An Integrated Hardware-Software Approach to Task Graph Management by Engelhardt, Nina, Dallou, Tamer, Elhossini, Ahmed, Juurlink, Ben

    Published: IEEE 01.08.2014
    “…Task-based parallel programming models with explicit data dependencies, such as OmpSs, are gaining popularity, due to the ease of describing parallel algorithms with complex and irregular dependency patterns…”
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    Conference Proceeding
  8. 8

    Number of Tasks, not Threads, is Key by Tousimojarad, Ashkan, Vanderbauwhede, Wim

    ISSN: 1066-6192
    Published: IEEE 01.03.2015
    “… However, in many task-based parallel programming models, choosing the right number of threads is still key to performance…”
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    Conference Proceeding Journal Article
  9. 9

    A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one by Ramon-Cortes, Cristian, Lordan, Francesc, Ejarque, Jorge, Badia, Rosa M.

    ISSN: 0167-739X, 1872-7115
    Published: Elsevier B.V 01.12.2020
    Published in Future generation computer systems (01.12.2020)
    “…In the past years, e-Science applications have evolved from large-scale simulations executed in a single cluster to more complex workflows where these…”
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    Journal Article
  10. 10

    Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications by Orenes-Vera, Marcelo, Tureci, Esin, Wentzlaff, David, Martonosi, Margaret

    ISSN: 2378-203X
    Published: IEEE 01.02.2023
    “…Applications with low data reuse and frequent irregular memory accesses, such as graph or sparse linear algebra workloads, fail to scale well due to memory…”
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    Conference Proceeding
  11. 11

    PufferFish: NUMA-Aware Work-stealing Library using Elastic Tasks by Kumar, Vivek

    ISSN: 2640-0316
    Published: IEEE 01.12.2020
    “… Hierarchical Place Tree (HPT) [1] is a popular approach for improving the locality of a task-based parallel programming model, albeit it requires the programmer to map the dynamically unfolding tasks over a NUMA system evenly…”
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    Conference Proceeding
  12. 12

    Mitigating the NUMA effect on task-based runtime systems by Maroñas, Marcos, Navarro, Antoni, Ayguadé, Eduard, Beltran, Vicenç

    ISSN: 0920-8542, 1573-0484
    Published: New York Springer US 01.09.2023
    Published in The Journal of supercomputing (01.09.2023)
    “… We propose a new approach that mitigates the NUMA effect on NUMA systems. Our solution is based on the OmpSs-2 programming model, a task-based parallel programming model, similar to OpenMP…”
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    Journal Article
  13. 13

    Integrating Dataflow Abstractions into the Shared Memory Model by Gajinov, Vladimir, Stipic, Srdjan, Unsal, Osman S., Harris, Tim, Ayguade, Eduard, Cristal, Adrian

    ISBN: 1467347906, 9781467347907
    ISSN: 1550-6533
    Published: IEEE 01.10.2012
    “…In this paper we present Atomic Dataflow model (ADF), a new task-based parallel programming model for C/C++…”
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    Conference Proceeding
  14. 14

    Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications by Orenes-Vera, Marcelo, Tureci, Esin, Wentzlaff, David, Martonosi, Margaret

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 04.05.2023
    Published in arXiv.org (04.05.2023)
    “…Applications with low data reuse and frequent irregular memory accesses, such as graph or sparse linear algebra workloads, fail to scale well due to memory…”
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    Paper
  15. 15

    Teaching High Productivity and High Performance in an Introductory Parallel Programming Course by Kumar, Vivek

    Published: IEEE 01.12.2021
    “…) at IIIT Delhi using a task-based parallel programming model, Habanero C/C++ Library (HClib). FPP covers a wide breadth of topics in parallel programming but emphasizes both high productivity and high performance…”
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    Conference Proceeding
  16. 16

    Task-Based HPC in the Cloud: Price-Performance Analysis of N-Body Simulations with StarPU by Vanz, Nicolas, Munhoz, Vanderlei, Castro, Marcio, Pilla, Laercio Lima, Aumage, Olivier

    ISSN: 2694-0825
    Published: IEEE 23.09.2025
    “…Public cloud environments present significant challenges for traditional High Performance Computing (HPC) applications due to infrastructure limitations that…”
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    Conference Proceeding
  17. 17

    A Programming Model for Hybrid Workflows: combining Task-based Workflows and Dataflows all-in-one by Ramon-Cortes, Cristian, Lordan, Francesc, Ejarque, Jorge, Badia, Rosa M

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 09.07.2020
    Published in arXiv.org (09.07.2020)
    “… To illustrate the capabilities of Hybrid Workflows, we have built a Distributed Stream Library and a fully functional prototype extending COMPSs, a mature, general-purpose, task-based, parallel programming model…”
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    Paper
  18. 18

    Programmable and Scalable Reductions on Clusters by Ciesko, Jan, Bueno, Javier, Puzovic, Nikola, Ramirez, Alex, Badia, Rosa M., Labarta, Jesus

    ISBN: 146736066X, 9781467360661
    ISSN: 1530-2075
    Published: IEEE 01.05.2013
    “… Using OmpSs, a task-based parallel programming model, the developer has the ability to express scalable reductions through a single pragma annotation…”
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    Conference Proceeding
  19. 19

    Mapping a Dataflow Programming Model onto Heterogeneous Architectures by Sbirlea, Alina Gabriela

    ISBN: 1267806982, 9781267806987
    Published: ProQuest Dissertations & Theses 01.01.2012
    “… The CnC model is a declarative, dynamic light-weight task based parallel programming model and is implicitly deterministic by enforcing the single assignment rule…”
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    Dissertation