Search Results - "Task-based programming models"

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  1. 1

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

    ISSN: 0167-8191, 1872-7336
    Published: Netherlands Elsevier B.V 01.09.2021
    Published in 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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    Journal Article
  2. 2

    OmpSs@FPGA Framework for High Performance FPGA Computing by 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
    Published: New York IEEE 01.12.2021
    Published in 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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    Journal Article
  3. 3

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

    ISSN: 1045-9219, 1558-2183
    Published: 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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    Journal Article
  4. 4

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

    ISSN: 0167-739X, 1872-7115
    Published: Elsevier B.V 01.08.2021
    Published in 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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    Journal Article
  5. 5

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

    ISSN: 2732-5121, 2732-5121
    Published: F1000 Research Ltd 2022
    Published in 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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    Journal Article
  6. 6

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

    ISSN: 2732-5121, 2732-5121
    Published: London, UK F1000 Research Limited 01.01.2022
    Published in 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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    Journal Article
  7. 7

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

    ISSN: 1045-9219, 1558-2183
    Published: 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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    Journal Article Publication
  8. 8

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

    ISSN: 1045-9219, 1558-2183
    Published: 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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    Journal Article Publication
  9. 9

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

    ISSN: 2378-203X
    Published: 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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    Conference Proceeding
  10. 10

    Runtime-Guided Management of Scratchpad Memories in Multicore Architectures by Alvarez, Lluc, Moreto, Miquel, Casas, Marc, Castillo, Emilio, Martorell, Xavier, Labarta, Jesus, Ayguade, Eduard, Valero, Mateo

    ISSN: 1089-795X
    Published: IEEE 01.10.2015
    “…The increasing number of cores and the anticipated level of heterogeneity in upcoming multicore architectures cause important problems in traditional cache…”
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    Conference Proceeding
  11. 11

    A Linux Kernel Scheduler Extension for Multi-core Systems by Roca, Aleix, Rodriguez, Samuel, Segura, Albert, Marquet, Kevin, Beltran, Vicenc

    ISSN: 2640-0316
    Published: IEEE 01.12.2019
    “…The Linux kernel is mostly designed for multi-programed environments, but high-performance applications have other requirements. Such applications are run…”
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    Conference Proceeding
  12. 12

    Adaptive Runtime-Assisted Block Prefetching on Chip-Multiprocessors by Garcia, Victor, Rico, Alejandro, Villavieja, Carlos, Carpenter, Paul, Navarro, Nacho, Ramirez, Alex

    ISSN: 0885-7458, 1573-7640
    Published: New York Springer US 01.06.2017
    “…Memory stalls are a significant source of performance degradation in modern processors. Data prefetching is a widely adopted and well studied technique used to…”
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    Journal Article Publication
  13. 13

    Enhancing OmpSs-2 Suspendable Tasks by Combining Operating System and User-Level Threads with C++ Coroutines by Cinca, Arnau, Roca, Aleix, Sala, Kevin, Penacoba, Raul, Alvarez, David, Beltran, Vicenc

    ISSN: 1530-2075
    Published: IEEE 03.06.2025
    “…This paper explores three methods for implementing suspendable tasks within task-based programming models: OS threads (pthreads), User-Level Threads (ULTs),…”
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    Conference Proceeding
  14. 14

    Reducing cache coherence traffic with hierarchical directory cache and NUMA-aware runtime scheduling by Caheny, Paul, Casas, Marc, Moreto, Miquel, Gloaguen, Herve, Saintes, Maxime, Ayguade, Eduard, Labarta, Jesus, Valero, Mateo

    Published: ACM 01.09.2016
    “…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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    Conference Proceeding
  15. 15

    On the Application Task Granularity and the Interplay with the Scheduling Overhead in Many-Core Shared Memory Systems by Akhmetova, Dana, Kestor, Gokcen, Gioiosa, Roberto, Markidis, Stefano, Laure, Erwin

    ISSN: 1552-5244
    Published: IEEE 01.09.2015
    “…Task-based programming models are considered one of the most promising programming model approaches for exascale supercomputers because of their ability to…”
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    Conference Proceeding
  16. 16

    Available Task-Level Parallelism on the Cell BE by Rico, Alejandro, Ramirez, Alex, Valero, Mateo

    ISSN: 1058-9244, 1875-919X
    Published: 2009
    Published in Scientific programming (2009)
    “…There is a clear industrial trend towards chip multiprocessors (CMP) as the most power efficient way of further increasing performance. Heterogeneous CMP…”
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    Journal Article
  17. 17

    An Integrated MPI and OpenMP Approach for Plasma Dynamics Simulations by Prakash, Yellaboina Mani, K, Girish K, Verma, Lalit, Kumar, Shivam, Bhowmik, Biswajit

    Published: IEEE 22.11.2024
    “…Plasma dynamics is the behavior exhibited by two or more charged species with respect to electric or magnetic fields. In high-performance computing (HPC)…”
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    Conference Proceeding
  18. 18

    Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications by Cao, Qinglei, Abdulah, Sameh, Alomairy, Rabab, Pei, Yu, Nag, Pratik, Bosilca, George, Dongarra, Jack, Genton, Marc G., Keyes, David E., Ltaief, Hatem, Sun, Ying

    ISSN: 2167-4337
    Published: IEEE 01.01.2022
    “…We extend the capability of space-time geostatistical modeling using algebraic approximations, illustrating application-expected accuracy worthy of double…”
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    Conference Proceeding
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  20. 20

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

    ISSN: 1045-9219, 1558-2183
    Published: 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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    Journal Article