Name
Abstract | ||
|---|---|---|
This paper presents a fast and effective computer algebraic method for analyzing and verifying non-linear integer arithmetic circuits using a novel algebraic spectral model. It introduces a concept of algebraic spectrum, a numerical form of polynomial expression; it uses the distribution of coefficients of the monomials to determine the type of arithmetic function under verification. In contrast to previous works, the proof of functional correctness is achieved by computing an algebraic spectrum combined with local rewriting of word-level polynomials. The speedup is achieved by propagating coefficients through the circuit using And-Inverter Graph (AIG) datastructure. The effectiveness of the method is demonstrated with experiments including standard and Booth multipliers, and other synthesized non-linear arithmetic circuits up to 1024 bits containing over 12 million gates.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3287624.3287662 | ASP-DAC |
DocType | ISSN | Citations |
Journal | 24th Asia and South Pacific Design Automation Conference. 2019
ASP-DAC | 0 |
PageRank | References | Authors |
0.34 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cunxi Yu | 1 | 98 | 9.64 |
| Tiankai Su | 2 | 6 | 2.19 |
| Atif Yasin | 3 | 6 | 1.86 |
| Maciej J. Ciesielski | 4 | 629 | 74.80 |