Analysis of the Matrix Processing (MxP) Architecture
Lakshmi Giria, Andreas Spanias · 2007
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™.