Simultaneous area and delay minimum K-LUT mapping for K-exact networks

Shashidhar Thakur, D. F. Wong
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引用次数: 6

Abstract

We address the technology mapping problem for lookup table FPGAs. The area minimization problem for mapping K-bounded networks, consisting of nodes with at most K inputs using K-input lookup tables is known to be NP-complete for K/spl ges/5. The complexity was unknown for K=2, 3, and 4. The corresponding delay minimization problem (under the constant delay model) was solved in polynomial time by the flow-map algorithm, for arbitrary values of K. We study the class of K-bounded networks, where all nodes have exactly K inputs. We call such networks K-exact. We give a characterization of mapping solutions for such networks. This leads to a polynomial time algorithm for computing the simultaneous area and delay minimum mapping for such networks using K-input lookup tables. We also show that the flow-map algorithm minimizes the area of the mapped network as well, for K-exact networks. We then show that for K=2 the mapping solution for a 2-bounded network, minimizing the area and delay simultaneously, can be easily obtained from that of a 2-exact network derived from it by eliminating single input nodes. Thus the area minimization problem for 2-input lookup tables can be solved in polynomial time, resolving an open problem.
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k -精确网络的同时面积和延迟最小K-LUT映射
我们解决了查找表fpga的技术映射问题。对于使用K-输入查找表的最多K个输入的节点组成的映射K-有界网络的面积最小化问题,已知对于K/spl ges/5是np完全的。对于K= 2,3,4,复杂度是未知的。对于任意K值,用flow-map算法在多项式时间内解决了相应的延迟最小化问题(在常数延迟模型下)。我们研究了一类K有界网络,其中所有节点恰好有K个输入。我们称这种网络为k精确网络。我们给出了这类网络的映射解的表征。这导致了一个多项式时间算法,用于计算使用k -输入查找表的此类网络的同时区域和延迟最小映射。我们还表明,对于k -精确网络,流程图算法也最小化了映射网络的面积。然后,我们证明,当K=2时,通过消除单个输入节点,可以很容易地从由其导出的2-精确网络的映射解中获得同时最小化面积和延迟的2-有界网络的映射解。因此,2输入查找表的面积最小化问题可以在多项式时间内解决,解决了一个开放的问题。
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