Výsledky vyhledávání - "Task Based Programming Model"

  1. 1

    Evaluating Data Redistribution in PaRSEC Autor Cao, Qinglei, Bosilca, George, Losada, Nuria, Wu, Wei, Zhong, Dong, Dongarra, Jack

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.08.2022
    “…Data redistribution aims to reshuffle data to optimize some objective for an algorithm. The objective can be multi-dimensional, such as improving computational…”
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  2. 2

    Abstraction Layer For Standardizing APIs of Task-Based Engines Autor Alomairy, Rabab, Ltaief, Hatem, Abduljabbar, Mustafa, Keyes, David

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.11.2020
    “…We introduce AL4SAN , a lightweight library for abstracting the APIs of task-based runtime engines. AL4SAN unifies the expression of tasks and their data…”
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  3. 3

    Asynchronous Task-Based Execution of the Reverse Time Migration for the Oil and Gas Industry Autor AlOnazi, A., Ltaief, H., Keyes, D., Said, I., Thibault, S.

    ISSN: 2168-9253
    Vydáno: IEEE 01.09.2019
    “…We propose a new framework for deploying Reverse Time Migration (RTM) simulations on distributed-memory systems equipped with multiple GPUs. Our software,…”
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  4. 4

    Integrating External Resources with a Task-Based Programming Model Autor Jia, Zhihao, Treichler, Sean, Shipman, Galen, Bauer, Michael, Watkins, Noah, Maltzahn, Carlos, McCormick, Patrick, Aiken, Alex

    Vydáno: IEEE 01.12.2017
    “…Accessing external resources (e.g., loading input data, checkpointing snapshots, and out-of-core processing) can have a significant impact on the performance…”
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  5. 5

    Fault-Tolerant Protocol for Hybrid Task-Parallel Message-Passing Applications Autor Martsinkevich, Tatiana, Subasi, Omer, Unsal, Osman, Cappello, Franck, Labarta, Jesus

    ISSN: 1552-5244
    Vydáno: IEEE 01.09.2015
    “…We present a fault-tolerant protocol for task-parallel message-passing applications to mitigate transient errors. The protocol requires the restart only of the…”
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  6. 6

    Scheduling across Multiple Applications using Task-Based Programming Models Autor Chung, Minh Thanh, Weidendorfer, Josef, Samfass, Philipp, Fuerlinger, Karl, Kranzlmuller, Dieter

    Vydáno: IEEE 01.11.2020
    “…Task-based programming models have shown their potential for efficiency and scalability in parallel and distributed systems. With such a model, a parallel…”
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  7. 7

    Harnessing Unreliable Cores in Heterogeneous Architecture: The PyDac Programming Model and Runtime Autor Bin Huang, Sass, Ron, Debardeleben, Nathan, Blanchard, Sean

    ISSN: 1530-0889
    Vydáno: IEEE 18.09.2014
    “…Heterogeneous many-core architectures combined with scratch-pad memories are attractive because they promise better energy efficiency than conventional…”
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  8. 8

    A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization Autor Cao, Qinglei, Alomairy, Rabab, Pei, Yu, Bosilca, George, Ltaief, Hatem, Keyes, David, Dongarra, Jack

    ISSN: 1530-2075
    Vydáno: IEEE 01.01.2022
    “…We present a general framework that couples the PaRSEC runtime system and the HiCMA numerical library to solve challenging 3D data-sparse problems. Though…”
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  9. 9

    Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems Autor Cao, Qinglei, Pei, Yu, Akbudak, Kadir, Bosilca, George, Ltaief, Hatem, Keyes, David, Dongarra, Jack

    ISSN: 1530-2075
    Vydáno: IEEE 01.05.2021
    “…The task-based programming model associated with dynamic runtime systems has gained popularity for challenging problems because of workload imbalance,…”
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  10. 10

    Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools Autor Cao, Qinglei , Pei, Yu, Herault, Thomas, Akbudak, Kadir, Mikhalev, Aleksandr, Bosilca, George, Ltaief, Hatem, Keyes, David, Dongarra, Jack

    Vydáno: IEEE 01.11.2019
    “…This paper highlights the necessary development of new instrumentation tools within the PaRSE task-based runtime system to leverage the performance of low-rank…”
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  11. 11

    Locality-Aware Scheduling for Scalable Heterogeneous Environments Autor Kamatar, Alok V., Friese, Ryan D., Gioiosa, Roberto

    Vydáno: IEEE 01.11.2020
    “…Heterogeneous computing promise boost performance of scientific applications by allowing massively parallel execution of computational tasks. However, manually…”
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  12. 12

    Callback-based completion notification using MPI Continuations Autor Schuchart, Joseph, Samfass, Philipp, Niethammer, Christoph, Gracia, José, Bosilca, George

    ISSN: 0167-8191, 1872-7336
    Vydáno: Netherlands Elsevier B.V 01.09.2021
    Vydáno v Parallel computing (01.09.2021)
    “…Asynchronous programming models (APM) are gaining more and more traction, allowing applications to expose the available concurrency to a runtime system tasked…”
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  13. 13

    OmpSs@FPGA Framework for High Performance FPGA Computing Autor de Haro, Juan Miguel, Bosch, Jaume, Filgueras, Antonio, Vidal, Miquel, Jimenez-Gonzalez, Daniel, Alvarez, Carlos, Martorell, Xavier, Ayguade, Eduard, Labarta, Jesus

    ISSN: 0018-9340, 1557-9956
    Vydáno: New York IEEE 01.12.2021
    Vydáno v IEEE transactions on computers (01.12.2021)
    “…This article presents the new features of the OmpSs@FPGA framework. OmpSs is a data-flow programming model that supports task nesting and dependencies to…”
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  14. 14

    Storage-Heterogeneity Aware Task-based Programming Models to Optimize I/O Intensive Applications Autor Elshazly, Hatem, Ejarque, Jorge, Badia, Rosa M.

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.12.2022
    “…Task-based programming models have enabled the optimized execution of the computation workloads of applications. These programming models can take advantage of…”
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  15. 15

    Towards enabling I/O awareness in task-based programming models Autor Elshazly, Hatem, Ejarque, Jorge, Lordan, Francesc, Badia, Rosa M.

    ISSN: 0167-739X, 1872-7115
    Vydáno: Elsevier B.V 01.08.2021
    Vydáno v Future generation computer systems (01.08.2021)
    “…Storage systems have not kept the same technology improvement rate as computing systems. As applications produce more and more data, I/O becomes the limiting…”
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  16. 16

    DDS: integrating data analytics transformations in task-based workflows Autor Mammadli, Nihad, Ejarque, Jorge, Alvarez, Javier, Badia, Rosa M.

    ISSN: 2732-5121, 2732-5121
    Vydáno: F1000 Research Ltd 2022
    Vydáno v Open research Europe (2022)
    “…High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks…”
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  17. 17

    DDS: integrating data analytics transformations in task-based workflows Autor Mammadli, Nihad, Ejarque, Jorge, Alvarez, Javier, Badia, Rosa M.

    ISSN: 2732-5121, 2732-5121
    Vydáno: London, UK F1000 Research Limited 01.01.2022
    Vydáno v Open research Europe (01.01.2022)
    “…High-performance data analytics (HPDA) is a current trend in e-science research that aims to integrate traditional HPC with recent data analytic frameworks…”
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  18. 18

    A Hardware Runtime for Task-Based Programming Models Autor Tan, Xubin, Bosch, Jaume, Alvarez, Carlos, Jimenez-Gonzalez, Daniel, Ayguade, Eduard, Valero, Mateo

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.09.2019
    “…Task-based programming models such as OpenMP 5.0 and OmpSs are simple to use and powerful enough to exploit task parallelism of applications over multicore,…”
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  19. 19

    Reducing Cache Coherence Traffic with a NUMA-Aware Runtime Approach Autor Caheny, Paul, Alvarez, Lluc, Derradji, Said, Valero, Mateo, Moreto, Miquel, Casas, Marc

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.05.2018
    “…Cache Coherent NUMA (ccNUMA) architectures are a widespread paradigm due to the benefits they provide for scaling core count and memory capacity. Also, the…”
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  20. 20

    Architectural Support for Task Dependence Management with Flexible Software Scheduling Autor Castillo, Emilio, Alvarez, Lluc, Moreto, Miquel, Casas, Marc, Vallejo, Enrique, Bosque, Jose Luis, Beivide, Ramon, Valero, Mateo

    ISSN: 2378-203X
    Vydáno: IEEE 01.02.2018
    “…The growing complexity of multi-core architectures has motivated a wide range of software mechanisms to improve the orchestration of parallel executions. Task…”
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