Improved heuristics for finite word-length polynomial datapath optimization

Conventional high-level synthesis techniques are not able to manipulate polynomial expressions efficiently due to the lack of suitable optimization techniques for redundancy elimination over Z 2 n . This paper, in comparison with, presents 1) an improved partitioning heuristic based on single-variab...

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Vydáno v:2009 IEEE/ACM International Conference on Computer-Aided Design - Digest of Technical Papers s. 739 - 744
Hlavní autoři: Alizadeh, B., Fujita, M.
Médium: Konferenční příspěvek
Jazyk:angličtina
japonština
Vydáno: IEEE 02.11.2009
Témata:
Algebra
Application software
Arithmetic
Delay
Design optimization
High level synthesis
Modular Optimization
Multi-output Polynomial Datapath Optimization
Permission
Polynomials
Signal design
Very large scale integration
ISSN:1092-3152
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Shrnutí:Conventional high-level synthesis techniques are not able to manipulate polynomial expressions efficiently due to the lack of suitable optimization techniques for redundancy elimination over Z 2 n . This paper, in comparison with, presents 1) an improved partitioning heuristic based on single-variable monomials instead of checking all sub-polynomials, 2) an improved compensation heuristic which is able to compensate monomials as well as coefficients, and 3) a combined area-delay-optimized factorization approach to extract the most frequently used sub-expressions from multi-output polynomials over Z 2 n . Experimental results have shown an average saving of 32% and 27.2% in the number of logic gates and critical path delay respectively compared to the state-of-the-art techniques. Regarding the comparison with, the number of gates and delay are improved by 14.3% and 13.9% respectively. Furthermore, the results show that the combined area-delay optimization can reduce the average delay by 26.4%.
ISSN:1092-3152
DOI:10.1145/1687399.1687536