How to build a Beowulf: a guide to the implementation and application of PC clusters
How to build a Beowulf: a guide to the implementation and application of PC clusters
High Performance Cluster Computing: Architectures and Systems
High Performance Cluster Computing: Architectures and Systems
Evaluation and Co parison Perfor ance of Various MPI plementations on an OSCAR Linux Cluster
ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications
High Performance Computing Environments Without the Fuss: The Bootable Cluster CD
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13 - Volume 14
Performance Evaluation of SLIM and DRBL Diskless PC Clusters on Fedora Core 3
PDCAT '05 Proceedings of the Sixth International Conference on Parallel and Distributed Computing Applications and Technologies
On Construction and Performance Evaluation of Cluster of Linux PC Clusters Environments
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Multi-agent cluster system for optimal performance in heterogeneous computer environments
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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This paper's objective is to implement and evaluate a high-performance computing environment by clustering idle PCs personal computers with diskless slave nodes on campuses to obtain the effectiveness of the largest computer potency. Two sets of Cluster platforms, BCCD and DRBL, are used to compare computing performance. It's to prove that DRBL has better performance than BCCD in this experiment. Originally, DRBL was created to facilitate instructions for a Free Software Teaching platform. In order to achieve the purpose, DRBL is applied to the computer classroom with 32 PCs so to enable PCs to be switched manually or automatically among different OS operating systems. The bioinformatics program, mpiBLAST, is executed smoothly in the Cluster architecture as well. From management's view, the state of each Computation Node in Clusters is monitored by "Ganglia", an existing Open Source. The authors gather the relevant information of CPU, Memory, and Network Load for each Computation Node in every network section. Through comparing aspects of performance, including performance of Swap and different network environment, they attempted to find out the best Cluster environment in a computer classroom at the school. Finally, HPL of HPCC is used to demonstrate cluster performance.