Statistical analysis as a quantitative basis for DSP architecture design

Bat Sheva Ovadia*, Yair Be'ery

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

The increased demand for efficient application-specific DSP platforms encourages the utilization of extensive statistical analysis of the applications as a quantitative basis for the design of the architecture of these platforms. The paper presents the methods for the definition of two generations of DSP cores based on both subjective and objective statistics. The subjective statistics consist of a detailed programmers' questionnaire, whereas objective statistics are measurements of real-life software of specific applications. The analysis of these measurements led to the design of the first generation PINE DSP core. Later, similar objective and subjective statistics were gathered from the actual implementation of a few applications on PINE. Investigation of the post-design measurements confirmed the main conclusions reached in the design phase of PINE. These measurements also served for designing the second generation, high-end, OAK DSP core.

Original languageEnglish
Pages93-102
Number of pages10
StatePublished - 1994
Externally publishedYes
EventProceedings of the 1994 IEEE International Workshop VLSI Signal Processing - La Jolla, CA, USA
Duration: 26 Oct 199428 Oct 1994

Conference

ConferenceProceedings of the 1994 IEEE International Workshop VLSI Signal Processing
CityLa Jolla, CA, USA
Period26/10/9428/10/94

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