K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...
Storage clusters try to transfer the idea of cluster com puting into the storage domain and to scale capacity and performance by simply adding new cluster components. This paper...
Clusters are the most common solutions for high performance computing at the present time. In this kind of systems, an important challenge is the I/O subsystem design. Typically, ...
Abstract—Using MPI as communication interface, one or several applications may introduce complex communication behaviors over the network cluster. This effect is increased when n...