DocumentCode :
3691891
Title :
ADRENALINE: An OpenVX Environment to Optimize Embedded Vision Applications on Many-core Accelerators
Author :
Giuseppe Tagliavini;Germain Haugou;Andrea Marongiu;Luca Benini
Author_Institution :
Univ. of Bologna, Bologna, Italy
fYear :
2015
Firstpage :
289
Lastpage :
296
Abstract :
The acceleration of Computer Vision algorithms is an important enabler to support the more and more pervasive applications of the embedded vision domain. Heterogeneous systems featuring a clustered many-core accelerator are a very promising target for embedded vision workloads, but the code optimization for these platforms is a challenging task. In this work we introduce ADRENALINE 1, a novel framework for fast prototyping and optimization of OpenVX applications for heterogeneous SoCs with many-core accelerators. ADRENALINE consists of an optimized OpenVX run-time system and a virtual platform, and it is intended to provide support to a wide range of end users. We highlight the benefits of this approach in different optimization contexts.
Keywords :
"Kernel","Optimization","Standards","Hardware","Bandwidth","Programming","Context"
Publisher :
ieee
Conference_Titel :
Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2015 IEEE 9th International Symposium on
Type :
conf
DOI :
10.1109/MCSoC.2015.45
Filename :
7328217
Link To Document :
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