Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Cache memories are commonly implemented through multiple memory banks to improve bandwidth and latency. The early knowledge of the data cache bank that an instruction will access ...
Stefan Bieschewski, Joan-Manuel Parcerisa, Antonio...
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
–Application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter- and intra-node communication in a c...