Optimizing memory bandwidth exploitation for OpenVX applications on embedded many-core accelerators

TAGLIAVINI, GIUSEPPE; Haugou, Germain; MARONGIU, ANDREA; BENINI, LUCA

doi:10.1007/s11554-015-0544-0

In recent years, image processing has been a key application area for mobile and embedded computing platforms. In this context, many-core accelerators are a viable solution to efficiently execute highly parallel kernels. However, architectural constraints impose hard limits on the main memory bandwidth, and push for software techniques which optimize the memory usage of complex multi-kernel applications. In this work, we propose a set of techniques, mainly based on graph analysis and image tiling, targeted to accelerate the execution of image processing applications expressed as standard OpenVX graphs on cluster-based many-core accelerators. We have developed a run-time framework which implements these techniques using a front-end compliant to the OpenVX standard, and based on an OpenCL extension that enables more explicit control and efficient reuse of on-chip memory and greatly reduces the recourse to off-chip memory for storing intermediate results. Experiments performed on the STHORM many-core accelerator demonstrate that our approach leads to massive reduction of time and bandwidth, even when the main memory bandwidth for the accelerator is severely constrained.

Data di pubblicazione:	2018
Titolo:	Optimizing memory bandwidth exploitation for OpenVX applications on embedded many-core accelerators
Autore/i:	Tagliavini, Giuseppe; Haugou, Germain; Marongiu, Andrea; Benini, Luca
Autore/i UNIMORE:	TAGLIAVINI, GIUSEPPE Haugou, Germain MARONGIU, ANDREA BENINI, LUCA mostra contributor esterni nascondi contributor esterni
Digital Object Identifier (DOI):	10.1007/s11554-015-0544-0
Rivista:	JOURNAL OF REAL-TIME IMAGE PROCESSING
Volume:	15
Fascicolo:	1
Pagina iniziale:	73
Pagina finale:	92
Codice identificativo ISI:	WOS:000434279300007
Codice identificativo Scopus:	2-s2.0-84947721182
Citazione:	Optimizing memory bandwidth exploitation for OpenVX applications on embedded many-core accelerators / Tagliavini, Giuseppe; Haugou, Germain; Marongiu, Andrea; Benini, Luca. - In: JOURNAL OF REAL-TIME IMAGE PROCESSING. - ISSN 1861-8200. - STAMPA. - 15:1(2018), pp. 73-92.
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http://hdl.handle.net/11380/1171835

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