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...
Experience has shown that development using shared-memory concurrency, the prevalent parallel programming paradigm today, is hard and synchronization primitives nonintuitive becaus...
Abstract. Security and fault-tolerance is a big issue for intensive parallel computing in pervasive environments with hardware errors or malicious acts that may alter the result. I...
As group applications become more prevalent, efficient network utilization becomes a major concern. Multicast transmission may use network bandwidth more efficiently than multiple...
Frank Adelstein, Golden G. Richard III, Loren Schw...
Group communications (multicast) are foreseen to be one of the most critical yet challenging technologies to meet the exponentially growing demands for data distribution in a large...