Parallel Global Optimization Algorithms (PGOA) provide an efficient way of dealing with hard optimization problems. One method of parallelization of GOAs that is frequently applie...
The paper presents a new data partitioning algorithm for parallel computing on heterogeneous processors. Like traditional functional partitioning algorithms, the algorithm assumes ...
— Edge detection is a computer vision algorithm that is very processor intensive. It is possible to increase the speed of the algorithm by using hardware parallelism. This paper ...
We present a simple implementation of a token-based distributed mutual exclusion algorithm for multithreaded systems. Several per-node requests could be issued by threads running ...
We present resolvent-based learning as a new nogood learning method for a distributed constraint satisfaction algorithm. This method is based on a look-back technique in constrain...