Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Abstract-- Genetic Parallel Programming (GPP) evolves parallel programs for MIMD architectures with multiple arithmetic/logic processors (MAPs). This paper describes a tool intende...
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...
In parallel processing systems, a fundamental consideration is the maximization of system performance through task mapping. A good allocation strategy may improve resource utilizat...
S. Mounir Alaoui, Ophir Frieder, Tarek A. El-Ghaza...
We present Tigris, a high-performance computation and I/O substrate for clusters of workstations that is implemented entirely in Java. Tigris automatically balances resource load a...