Title :
Analysis of the Matrix Processing (MxP) Architecture
Author :
Girija, L. ; Spanias, A.S.
Abstract :
In this paper, we describe and evaluate a new DSP architecture called the matrix processing (MxP™). MxP exploits data parallelism using hardwired matrix operations and instructions. The MxP matrix computation capabilities are optimized for multidimensional transforms and filtering. A detailed analysis of the MxP performance, in terms of precision, execution time, and instruction memory requirements, is presented. We focus particularly on matrix and vector manipulations of the type embedded in video processing standards, e.g., filtering, DCT, and motion estimation. We present comparison tables of the performance of the MxP with other widely used DSPs such as the TI TMS320c55x™, and the TI TMS320c64x™.
Keywords :
digital signal processing chips; matrix algebra; transforms; DCT; DSP architecture; MxP matrix computation; TI TMS320c55x; TI TMS320c64x; data parallelism; hardwired matrix operations; instruction memory requirements; matrix processing architecture; motion estimation; multidimensional transforms; vector manipulations; video processing standards; Clocks; Computer architecture; Coprocessors; Digital signal processing; Discrete cosine transforms; Filtering; ISO standards; Motion estimation; Signal processing algorithms; Streaming media; DSP architectures; video standards;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366251