In this paper we explore a new clustering approach for reducing the complexity of wide issue in-order processors based on EPIC architectures. Complexity effectiveness is achieved ...
Satish Narayanasamy, Hong Wang 0003, Perry H. Wang...
Cluster applications that process large amounts of data, such as parallel scientific or multimedia applications, are likely to cause swapping on individual cluster nodes. These ap...
Tia Newhall, Sean Finney, Kuzman Ganchev, Michael ...
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Application monitoring in the grid for parallel applications is hardly supported in recent grid infrastructures. There is a need to visualize the behavior of the program during its...
Clusters of high-end workstations and PCs are currently used in many application domains to perform large-scale computations or as scalable servers for I/O bound tasks. Although c...