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...
: Most of the recently discussed and commercially introduced test stimulus data compression techniques are based on low care bit densities found in typical scan test vectors. Data ...
Aim of the paper is to develop a concise but comprehensive analytical model for the well-known Grace Hash Join algorithm on cost effective cluster architectures. This approach is ...
The exact enumeration of most interesting combinatorial problems has exponential computational complexity. The finite-lattice method reduces this complexity for most two-dimension...
We present an approach to partitioning and mapping for multicluster embedded systems consisting of time-triggered and eventtriggered clusters, interconnected via gateways. We have...
Paul Pop, Petru Eles, Zebo Peng, Viacheslav Izosim...