The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
Clustering is an effective method to increase the available parallelism in VLIW datapaths without incurring severe penalties associated with large number of register file ports. E...
Viktor S. Lapinskii, Margarida F. Jacome, Gustavo ...
Traditional placement algorithms for FPGAs are normally carried out on a fixed clustering solution of a circuit. The impact of clustering on wirelength and delay of the placement s...
We motivate and develop a natural bicriteria measure for assessing the quality of a clustering that avoids the drawbacks of existing measures. A simple recursive heuristic is shown...