Analysis of the matrix processing (M×P) architecture

Lakshmi Girija, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we describe and evaluate a new DSP architecture called the matrix processing (M×P™). M×P exploits data parallelism using hardwired matrix operations and instructions. The M×P matrix computation capabilities are optimized for multidimensional transforms and filtering. A detailed analysis of the M×P 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™.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesII377-II380
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/TerritoryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • DSP architectures
  • Video standards

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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