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Proceedings Paper

Customized Nios II multi-cycle instructions to accelerate block-matching techniques
Author(s): Diego González; Guillermo Botella; Carlos García; Anke Meyer Bäse; Uwe Meyer Bäse; Manuel Prieto-Matías
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Paper Abstract

This study focuses on accelerating the optimization of motion estimation algorithms, which are widely used in video coding standards, by using both the paradigm based on Altera Custom Instructions as well as the efficient combination of SDRAM and On-Chip memory of Nios II processor. Firstly, a complete code profiling is carried out before the optimization in order to detect time leaking affecting the motion compensation algorithms. Then, a multi-cycle Custom Instruction which will be added to the specific embedded design is implemented. The approach deployed is based on optimizing SOC performance by using an efficient combination of On-Chip memory and SDRAM with regards to the reset vector, exception vector, stack, heap, read/write data (.rwdata), read only data (.rodata), and program text (.text) in the design. Furthermore, this approach aims to enhance the said algorithms by incorporating Custom Instructions in the Nios II ISA. Finally, the efficient combination of both methods is then developed to build the final embedded system. The present contribution thus facilitates motion coding for low-cost Soft-Core microprocessors, particularly the RISC architecture of Nios II implemented in FPGA. It enables us to construct an SOC which processes 50×50 @ 180 fps.

Paper Details

Date Published: 27 February 2015
PDF: 14 pages
Proc. SPIE 9400, Real-Time Image and Video Processing 2015, 940002 (27 February 2015); doi: 10.1117/12.2077104
Show Author Affiliations
Diego González, Univ. Complutense de Madrid (Spain)
Guillermo Botella, Univ. Complutense de Madrid (Spain)
Carlos García, Univ. Complutense de Madrid (Spain)
Anke Meyer Bäse, Florida State Univ. (United States)
Uwe Meyer Bäse, Florida State Univ. (United States)
Manuel Prieto-Matías, Univ. Complutense de Madrid (Spain)

Published in SPIE Proceedings Vol. 9400:
Real-Time Image and Video Processing 2015
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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