… parallel algorithms for problems in these three different areas. The relative merits and
shortcomings of various algorithms … The authors address this by designing a parallel algorithm and …

… To get started, we introduce two general measures commonly used for evaluating the
performance of a parallel algorithm. Let P be a given computational problem and let n be its input …

… intelligent systems; memory-based reasoning and parallel marker-… , fostered by massively
parallel machines, offer a golden … artificial intelligence research and positions of each panelist. …

… improving GPU-based parallel algorithms, good performance criteria are yet to be developed.
We propose rectified efficiency for measuring parallel performance. As for the algorithm …

… , MA, where his research interests included parallel programming languages, parallel
algorithms for artificial intelligence, knowledge acquisition, knowledge representation, and plan …

… algorithms for several problems from computer vision, and illustrate how they are implemented
using a set of primitive parallel … His research interests include data parallel algorithms, lan…

… just parallel versions of sequential genetic algorithms. In fact they actually reach the ideal
goal of having a parallel algorithm … sub-algorithms, and this is why we directly focus on them. …

… (3) he proposes a parallel architecture to execute the proposed "algorithm. In this section we
only consider the parallel algorithm and the architecture. Oflazer's algorithm is based on the …

… the ELM parameters with a new parallel algorithm. To refill this research gap, this study, for
the first time, proposes a parallel cooperation search algorithm (PCSA) based on the divide-…

… of the algorithm to be configured. Here, we study the extent to which parallel computing can
come … speedups can be obtained with up to 16 parallel workers, and that 64 workers can still …