Roland Piquepaille writes "As the recent release of the last Top500 list reminded us last month, the most powerful computers now are reaching speeds of dozens of teraflops. When these machines run a nuclear simulation or a global climate model for days or weeks, they produce datasets of tens of terabytes. How to visualize, analyze and understand such massive amounts of data? The answer is now obvious: using Linux clusters. In this very long article, "From Seeing to Understanding," Science & Technology Review looks at the technologies used at Lawrence Livermore National Laboratory (LLNL), which will host the IBM's BlueGene/L next year. Visualization will be handled by a 128- or 256-node Linux cluster. Each node contains two processors sharing one graphic card. Meanwhile, the EVEREST built by Oak Ridge National Laboratory (ORNL), has a 35 million pixels screen piloted by a 14-node dual Opteron cluster sending images to 27 projectors. Now that Linux superclusters have almost swallowed the high-end scientific computing market, they're building momentum in the high-end visualization one. The article linked above is 9-page long when printed and contains tons of information. This overview is more focusing on the hardware deployed at these two labs."
The best book on programming for the layman is "Alice in Wonderland";
but that's because it's the best book on anything for the layman.