DocumentCode
3773459
Title
Parallel Implementation of OpenVX on Firefly2 GPU
Author
Zhiquan Guo;Jungang Han;Fang Che;Tao Li
Author_Institution
Sch. of Comput. Sci., Xi´An Univ. of Posts &
Volume
1
fYear
2015
Firstpage
218
Lastpage
221
Abstract
Given the fact that the traditional GPU mainly supports the parallel computing with SIMD (Single Instruction Multiple Data) and SIMT (Single Instruction Multiple Thread) mode, the Firefly2 GPU (Graphic Processing Unit) has special hardware configuration mechanism and can be used for paralleling computing on data-level, thread-level and operated-level. This paper presents parallel implementation of OpenVX kernels on Firefly2 GPU with the method by combing the operation level parallelism with data level parallelism. Experimental results indicate satisfactory speedup of the parallel implementation and show that the Firefly2 is suitable for graphics and image processing.
Keywords
"Parallel processing","Graphics processing units","Hardware","Kernel","Machine vision","Partitioning algorithms"
Publisher
ieee
Conference_Titel
Computational Intelligence and Design (ISCID), 2015 8th International Symposium on
Print_ISBN
978-1-4673-9586-1
Type
conf
DOI
10.1109/ISCID.2015.184
Filename
7468937
Link To Document