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Tackling Real-Time Signal Processing Applications on Shared Memory Multicore Architectures Using XPU

Nader Khammassi 1 Jean-Christophe Le Lann 1
1 Lab-STICC_ENSTAB_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
Abstract : General-purpose shared memory multicore architectures are becoming widely available. They are likely to stand as attractive alternatives to more specialized processing architectures such as FPGA and DSP-based platforms to perform real-time digital signal processing. In this paper, we show how we can ease parallelism expression on shared memory multicore architecture through the XPU high-level programming model and we describe a parallel implementation of radar signal processing application. This study case shows how we can improve programmer productivity through easing parallel programming without sacrificing performances.
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https://hal.archives-ouvertes.fr/hal-00958087
Contributeur : Annick Billon-Coat <>
Soumis le : mardi 11 mars 2014 - 16:18:16
Dernière modification le : vendredi 23 avril 2021 - 03:40:50

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  • HAL Id : hal-00958087, version 1

Citation

Nader Khammassi, Jean-Christophe Le Lann. Tackling Real-Time Signal Processing Applications on Shared Memory Multicore Architectures Using XPU. ERTS 2014, Feb 2014, Toulouse, France. ⟨hal-00958087⟩

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