Memory systems for conventional large-scale computers provide only limited bytes/s of data bandwidth when compared to their flop/s of instruction execution rate. The resulting bo...
Robert J. Drost, Craig Forrest, Bruce Guenin, Ron ...
As the speed gap between CPU and memory widens, memory hierarchy has become the primary factor limiting program performance. Until now, the principal focus of hardware and softwar...
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
Abstract. This paper formulates the job allocation problem in distributed systems with bandwidth-constrained nodes. The bandwidth limitations of the nodes play an important role in...