MATEC Web Conf.
Volume 173, 20182018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|Number of page(s)||5|
|Section||Digital Signal and Image Processing|
|Published online||19 June 2018|
Data Compression and Vectorization of Matrix Multiplication on HXDSP
Hefei University of Technology, School of Computer and Information, 230009, Hefei, China
2 NO.38th Research Institute of China Electronic Technology Group Corporation, 230088, Hefei, China
* Corresponding author: firstname.lastname@example.org
In order to solve the problem of low efficiency of hardware resources and low data processing ability of vector processors, this paper uses data compression and vectorization method to realize matrix multiplication based on the HXDSP platform with the DCT algorithm in HEVC. It can make full use of the hardware resources of DSP to achieve the optimal optimization. The experimental results show that this method can achieve 32GMACS which is the peak-point multiply-accumulate capability of HXDSP. It can achieve to 2Gpixel/s for the data processing capability, which meets the performance requirements of HEVC coding standard and provides a reference for hardware implementation of HEVC.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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