Simulation and visualization on the grid

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It has been 30 years since the ARPA-net, the foundation for digital communication, began operations. The evolution of networks from early electronic mail and file transfers to today's Internet has been extraordinary, developing at a pace that outstrips even advancements in computing and storage technologies. Within just five years of commercialization, the Internet has become as ubiquitous as the telephone was three decades after its launch. In the U.S., the Internet industry now surpasses the auto industry, which has been around for about a century. The rapid growth in communication, computing, and storage capabilities is transforming scientific and engineering practices. Large-scale simulations in fields like chemistry, physics, and engineering can now generate data sets ranging from several terabytes to petabytes. Almost all measurements today yield digital data, whether from sensors, 3D images, or video. These complex data sets necessitate advanced visualization and data-mining techniques for comprehension. Additionally, data may be stored in various locations, with analysis often conducted by teams spread across different sites, sometimes far from essential storage and computation resources. Emerging computational Grids facilitate the seamless use of remote instruments and resources for computation and data analysis.