In the present paper we explain the basic ideas of Robust Perron Cluster Analysis (PCCA+) and exemplify the different application areas of this new and powerful method. Recently, ...
Centralized register file architectures scale poorly in terms of clock rate, chip area, and power consumption and are thus not suitable for consumer electronic devices. The conse...
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
As commodity microprocessors and networks reach performance levels comparable to those used in massively parallel processors, clusters of symmetric multiprocessors are starting to...
Specialized clustered very large instruction word (VLIW) processors combined with effective compilation techniques enable aggressive exploitation of the high instruction-level para...
Viktor S. Lapinskii, Margarida F. Jacome, Gustavo ...