High Performance Cluster And Grid Computing Solutions For Science
Umeshkumar Keswani · UTA ResearchCommons (University of Texas Arlington) · 2008
Computing for science has very peculiar requirements. There is an enormous amount of data to analyze to get useful information. This requires greater computing power, huge data storage and high-capacity network. High Performance Computing (HPC) is the perfect solution that satisfies these requirements. Here, we look at two high performance implementations that provide useful solutions to computing problems in science, making possible scientific experiments and discoveries that otherwise would not have been possible.