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Content Provider | IEEE Xplore Digital Library |
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Author | Flores, P. Monteiro, J. Costa, E. |
Copyright Year | 2005 |
Description | Author affiliation: IST-INESC-ID, Lisboa, Portugal (Flores, P.; Monteiro, J.) |
Abstract | In this paper, we propose an exact algorithm that maximizes the sharing of partial terms in multiple constant multiplication (MCM) operations. We model this problem as a Boolean network that covers all possible partial terms which may be used to generate the set of coefficients in the MCM instance. The PIs to this network are shifted versions of the MCM input. An AND gate represents an adder or a subtracter, i.e., an AND gate generates a new partial term. All partial terms that have the same numerical value are ORed together. There is a single output which is an /spl and/ over all the coefficients in the MCM. We cast this problem into a 0-1 integer linear programming (ILP) problem by requiring that the output is asserted while minimizing the total number of AND gates that evaluate to one. A SAT-based solver is used to obtain the exact solution. We argue that for many real problems the size of the problem is within the capabilities of current SAT solvers. We present results using binary, CSD and MSD representations. Two main conclusions can be drawn from the results. One is that, in many cases, existing heuristics perform well, computing the best solution, or one close to it. The other is that the flexibility of the MSD representation does not have a significant impact in the solution obtained. |
Starting Page | 13 |
Ending Page | 16 |
File Size | 212212 |
Page Count | 4 |
File Format | |
ISBN | 078039254X |
DOI | 10.1109/ICCAD.2005.1560032 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-11-06 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Finite impulse response filter Hardware Digital signal processing Integer linear programming Fast Fourier transforms Computer architecture Energy consumption Signal processing algorithms |
Content Type | Text |
Resource Type | Article |
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