Current systems for managing workload on clusters of workstations, particularly those available for Linuxbased (Beowulf) clusters, are typically based on traditional process-based...
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
In this paper, we propose a technique to flexibly implement genetic algorithms for various problems on FPGAs. For the purpose, we propose a basic architecture for GA which consist...
We present efficient sequential and parallel algorithms for isosurface extraction. Based on the Span Space data representation, new data subdivision and searching methods are desc...
Han-Wei Shen, Charles D. Hansen, Yarden Livnat, Ch...
Abstract. This paper presents a reduced-complexity, fixed-point algorithm and efficient real-time VLSI architectures for multiuser channel estimation, one of the core baseband proc...
Sridhar Rajagopal, Srikrishna Bhashyam, Joseph R. ...