2026-05-27T12:55:15Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/102132026-02-03T12:33:38Zcom_10630_2254col_10630_37959

Rodríguez, Andrés González-Navarro, María Ángeles Asenjo-Plaza, Rafael Corbera-Peña, Francisco Javier Vilches Reina, Antonio Garzarán, María 2015-09-07T10:09:25Z 2015-09-07T10:09:25Z 2015-09-07 http://hdl.handle.net/10630/10213 http://orcid.org/0000-0002-1570-3863 We address the problem of providing support for executing single streaming applications implemented as a pipeline of stages that run on heterogeneous chips comprised of several cores and one on-chip GPU. In this paper, we mainly focus on the API that allows the user to specify the type of parallelism exploited by each pipeline stage running on the multicore CPU, the mapping of the pipeline stages to the devices (GPU or CPU), and the number of active threads. We use a real streaming application as a case of study to illustrate the experimental results that can be obtained with this API. With this example, we evaluate how the different parameter values affect the performance and energy efficiency of a heterogenous on-chip processor (Exynos 5 Octa) that has three different computational cores: a GPU, an ARM Cortex-A15 quad-core, and an ARM Cortex-A7 quad-core. eng open access by-nc-nd Programación en paralelo (Informática) Pipeline template for streaming applications on heterogeneous chips conference output