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In this paper, an efficient packing algorithm based on constraint satisfaction problem technique is proposed for contemporary FPGA CLB architecture. No matter how complex the architecture is, there are a limited number of patterns, which can implement all functionalities of FPGA CLB logic. All the patterns are pre-designed and known as reference circuits. The proposed algorithm then matches the reference...
In this paper, genetic algorithm (GA) using parallel tabular technique is presented for the optimization of mixed polarity Reed Muller and mixed polarity dual Reed Muller functions. The algorithm is to find optimal solution among 3n different solutions for large functions. To overcome the disadvantage of the traditional tabular technique, the cost function of GA is based on parallel tabular technique,...
Although adaptive routing algorithms promise higher communication performance, as compared to deterministic routing algorithms, they suffer from the out-of-order packet delivery problem. In the context of Network on Chip, the area and computational overhead of ordering packets at the destination is high and may reverse any gain achieved through the use of adaptivity of the routing algorithm. In this...
Field-programmable gate array (FPGA) packing is one of abstraction levels in the FPGA CAD design flow which is aimed to pack logic components into clusters. As a result, the cluster-based FPGA can significantly improve timing, routability and power consumption as well. This paper proposes a novel packing algorithm using priori wire length estimation before actual routing taken apart. In addition,...
Understanding group decision-making processes is crucial for design or operation of a complex system. Unfortunately, there are few experimental tools that might contribute to the development of a theory of group decision-making by committees of technical experts. This research aims to fills this gap by providing tools based on computational linguistics algorithms that can analyze transcripts of multi-stakeholder...
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