Tackling Real-Time Signal Processing Applications on Shared Memory Multicore Architectures Using XPU
Autor: | Khammassi, Nader, Jean-Christophe Le Lann |
---|---|
Přispěvatelé: | Billon-Coat, Annick, Lab-STICC_ENSTAB_CACS_MOCS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192) (Lab-STICC), Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: |
Radar
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing Parallel Construct Pipeline Parallelism [INFO.INFO-ES] Computer Science [cs]/Embedded Systems [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Multicore Parallel Parallel Programming Model Digital Signal Processing [INFO.INFO-ES]Computer Science [cs]/Embedded Systems Patterns [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Skeleton [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing |
Zdroj: | ERTS 2014 ERTS 2014, Feb 2014, Toulouse, France |
Popis: | International audience; 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. |
Databáze: | OpenAIRE |
Externí odkaz: |