Abstract. Parallel genetic algorithms are usually implemented on parallel machines or distributed systems. This paper describes how finegrained parallel genetic algorithms can be ...
In this paper, we present a parallel algorithm for the minimization of deterministic finite state automata (DFA's) and discuss its implementation on a connection machine CM-5...
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
Stand-alone threading libraries lack sophisticated memory management techniques. In this paper, we present a methodology that allows threading libraries that implement non-preempti...
Emergence of chip multiprocessor systems has dramatically increased the performance potential of computer systems. Since the amount of exploited parallelism is directly influenced ...