1 / 9

Cluster Computing and Genetic Algorithms With ClusterKnoppix

Cluster Computing and Genetic Algorithms With ClusterKnoppix. David Tabachnick. What is a Cluster?. A Cluster is… A group of connected computers, acting as one to calculate computationally difficult problems. A Cluster is… Made up of a server , nodes , and networking hub(s) .

derick
Download Presentation

Cluster Computing and Genetic Algorithms With ClusterKnoppix

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Cluster Computing and Genetic AlgorithmsWith ClusterKnoppix David Tabachnick

  2. What is a Cluster? A Cluster is… A group of connected computers, acting as one to calculate computationally difficult problems. A Cluster is… Made up of a server, nodes, and networking hub(s).

  3. Example of a Fully Developed Cluster

  4. Basics of Clustering • Server is the head of the cluster. • Nodes are all connected via hub. • Server is started first. The nodes are then powered on, and they look to the server for instructions. • The cluster is both scalable and highly available. • The cluster can be taken down and restarted quickly and easily.

  5. Methods to Clustering • Load-balancing is done on the server by a software package, OpenMosix. • This results in breaking programs into processes that can be sent to the nodes for processing. • No special programming methods or languages must be used.

  6. Features of this Cluster • Live Installwith configuration scripts • Remote access for authorized users • High scalability • Extremely secure • Local storage on the server and external storage for redundant data backup • Will run LISP

  7. Genetic Algorithms on a Cluster • Server performs the string manipulation and sends the matrix calculations to the nodes. • Each node is given one fitness function to calculate. • Upon completion, a node will write back the resultant function and remain idle. • ≈80% of the calculations take place on the nodes.

  8. Genetic Algorithm Clustering

  9. Conclusion • This cluster… • Achieved relatively high performance when compared to other clusters of similar size and scope. • Was designed with computing genetic algorithms in mind. • Was built to be scalable, flexible, and easily accessible.

More Related