Parallel Programming of Cellular Automata on Multi- core and Many-core Computers

Genetic programming and cellular automata for fast flood modelling on multi-core CPU and many-core GPU computers

OpenMP parallelization of the SCIARA Cellular Automata lava flow model: performance analysis on shared-memory computers

Parallel Computing represents a valid solution for reducing execution times in simulations of complex geological processes, such as lava flows, debris flows and, in general, of fluid-dynamic processes. In these cases, Cellular Automata (CA) models have proved to be effective when the behavior of the system to be modeled can be described in terms of local interactions among its constituent parts...

Efficient parallelization of the genetic algorithm solution of traveling salesman problem on multi-core and many-core systems

Efficient parallelization of genetic algorithms (GAs) on state-of-the-art multi-threading or many-threading platforms is a challenge due to the difficulty of schedulation of hardware resources regarding the concurrency of threads. In this paper, for resolving the problem, a novel method is proposed, which parallelizes the GA by designing three concurrent kernels, each of which running some depe...

Hand Gestures Classification with Multi-Core DTW

Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification. The results were presented to voting algorithm in which the majority vote was ...

New parallel programming language design: a bridge between brain models and multi-core/many-core computers?

The recurrent theme of this paper is that sequences of long temporal patterns as opposed to sequences of simple statements are to be fed into computation devices, being them (new proposed) models for brain activity or multi-core/many-core computers. In such models, parts of these long temporal patterns are already committed while other are predicted. This combination of matching patterns and ma...