|
Descripción
|
|
|---|---|
| In this paper, a meta-model called State-Aware Dataflow (SAD) is proposed that enhances a dataflow MoC, introducing new semantics to take advantage of such nested loop parallelism. SAD extends the semantics of the targeted MoC with unambiguous data persistence scope. The extended expressiveness and conciseness brought by the SAD meta-model are demonstrated with a reinforcement learning use-case. | |
|
Internacional
|
Si |
|
Nombre congreso
|
International Conference of Embedded Computer Systems: Archotectures, Modeling and Simulation (SAMOS XVIII) |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Samos, Greece |
|
Revisores
|
Si |
|
ISBN o ISSN
|
978-1-4503-6494-2 |
|
DOI
|
10.1145/3229631.3229645 |
|
Fecha inicio congreso
|
15/07/2018 |
|
Fecha fin congreso
|
19/07/2018 |
|
Desde la página
|
47 |
|
Hasta la página
|
54 |
|
Título de las actas
|
SAMOS '18 Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation |