Abstract | ||
---|---|---|
Given the recent wave of innovation and diversification in digital signal processor (DSP) architecture, the need for quickly evaluating the true potential of considered architectural choices for a given application has been rising. We propose a new scheme, called retargetable estimation, that involves analysis of a high-level description of a DSP application, with aggressive optimization search, to provide a performance estimate of its optimal implementation on the architectures considered. With this scheme, we present a new parameterized architecture model that allows quick retargeting to a wide range of architectural choices, and that emphasizes capturing an architecture\u0027s salient optimizing features. We show that for a set of DSP benchmarks and two full applications, hand-optimized performance can be predicted reliably. We applied this scheme to two different processors. |
Year | DOI | Venue |
---|---|---|
2000 | 10.1145/368434.368766 | design automation conference |
Keywords | Field | DocType |
dsp architecture selection,retargetable estimation scheme,design optimization,digital signal processor,digital signal processors,high level language,high level synthesis,embedded system,application software,computer architecture,digital signal processing | Digital signal processing,Architecture,Computer architecture,Parameterized complexity,Digital signal processor,Computer science,High-level synthesis,Dsp architecture,Retargeting,Electronic engineering,Real-time computing,Salient | Conference |
ISBN | Citations | PageRank |
0-7803-5974-7 | 10 | 0.75 |
References | Authors | |
7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Naji Ghazal | 1 | 14 | 1.33 |
Richard Newton | 2 | 98 | 9.57 |
Jan M. Rabaey | 3 | 4796 | 1049.96 |