In this paper, we explore the tradeoffs and opportunities in porting a high-throughput Grid computing middleware to a high-performance service oriented environment. We present the...
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
—Various studies have pointed out the debilitating effects of OS Jitter on the performance of parallel applications on large clusters such as the ASCI Purple and the Mare Nostrum...
—The performance of Particle Swarm Optimization (PSO) algorithms depends strongly upon the interaction among the particles. The existing communication topologies for PSO (e.g. st...