Title :

Programming Massively Parallel Architectures using MARTE: a Case Study

Author(s) :

de Oliveira Rodrigues, Antonio Wendell [Auteur]
Contributions of the Data parallelism to real time [DART]
Guyomarch, Frédéric [Auteur]
Contributions of the Data parallelism to real time [DART]
Dekeyser, Jean-Luc [Auteur]
Contributions of the Data parallelism to real time [DART]

Conference title :

2nd Workshop on Model Based Engineering for Embedded Systems Design (M-BED 2011) on Date Conference 2011

City :

Grenoble

Country :

France

Start date of the conference :

2011-03-14

Publication date :

2011-03-18

English keyword(s) :

GPU
OpenCL
MARTE
Embedded Systems
H.263

HAL domain(s) :

Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]

English abstract : [en]

Nowadays, several industrial applications are being ported to parallel architectures. These applications take advantage of the potential parallelism provided by multiple core processors. Many-core processors, especially ...
Show more >Nowadays, several industrial applications are being ported to parallel architectures. These applications take advantage of the potential parallelism provided by multiple core processors. Many-core processors, especially the GPUs(Graphics Processing Unit), have led the race of floating-point performance since 2003. While the performance improvement of general-purpose microprocessors has slowed significantly, the GPUs have continued to improve relentlessly. As of 2009, the ratio between many-core GPUs and multicore CPUs for peak floating-point calculation throughput is about 10 times. However, as parallel programming requires a non-trivial distribution of tasks and data, developers find it hard to implement their applications effectively. Aiming to improve the use of many-core processors, this work presents an case-study using UML and MARTE profile to specify and generate OpenCL code for intensive signal processing applications. Benchmark results show us the viability of the use of MDE approaches to generate GPU applications.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL