FPGA Soft-core Processors, Compiler and Hardware Optimizations validated using HOG


Autoria(s): Kelly, Colm; Siddiqui, Fahad Manzoor; Bardak, Burak; Wu, Yun; Woods, Roger; Rafferty, Karen
Data(s)

24/03/2016

Resumo

There is demand for an easily programmable, high performance image processing platform based on FPGAs. In previous work, a novel, high performance processor - IPPro was developed and a Histogram of Orientated Gradients (HOG) algorithm study undertaken on a Xilinx Zynq platform. Here, we identify and explore a number of mapping strategies to improve processing efficiency for soft-cores and a number of options for creation of a division coprocessor. This is demonstrated for the revised high definition HOG implementation on a Zynq platform, resulting in a performance of 328 fps which represents a 146% speed improvement over the original realization and a tenfold reduction in energy.

Identificador

http://pure.qub.ac.uk/portal/en/publications/fpga-softcore-processors-compiler-and-hardware-optimizations-validated-using-hog(ad331176-f1f0-470a-b671-ca51d91de108).html

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Kelly , C , Siddiqui , F M , Bardak , B , Wu , Y , Woods , R & Rafferty , K 2016 , ' FPGA Soft-core Processors, Compiler and Hardware Optimizations validated using HOG ' Paper presented at 12th International Symposium on Applied Reconfigurable Computing (ARC) , Rio de Janeiro , Brazil , 22/03/2016 - 24/03/2016 , .

Tipo

conferenceObject