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Memory access reduction method for efficient implementation of vector-radix 2D fast cosine transform pruning on DSP

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2 Author(s)
Xiangyang Liu ; Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA ; Wang, Yuke

In this paper, we propose a novel memory access reduction method to minimize the memory accesses due to weighting factors (cosine coefficients in the computation diagram of vector-radix 2D FCT pruning) and input points for implementing vector-radix 2D FCT pruning on DSP processors. The proposed method reduces the number of memory accesses in two steps: 1) Reduce the number of weighting factors and 2) Combine butterflies at two stages in vector-radix 2D FCT pruning diagram to form an efficient butterfly structure in one stage and calculate them. The proposed method is applied to implement vector-radix 2D FCT pruning on TI TMSC320C64x DSP. Experimental results show that the proposed method can achieve average of 47.2% memory access reduction, average of 58.2% clock cycle reduction and average of 20% memory space saving for weighting factors to compute vector-radix 2D fast cosine transform pruning on DSP comparing with the conventional implementation.

Published in:

IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the

Date of Conference:

18-21 March 2010

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