To enable resource and data sharing among collaborating groups of science and engineering researchers, the NSF's TeraGrid will connect multiple high- performance computing systems, large-scale scientific data archives, and high-resolution rendering systems via very high-speed networks.
Alfred Daniel J · 2003
Imagine correlating petabytes of imagery and data from multiple optical, radio, infrared, and x-ray telescopes and their associated data archives to study the initial formation of largescale structures of matter in the early universe. Imagine combining real-time Doppler radar data from multiple sites with high-resolution weather models to predict storm formation and movement through individual neighborhoods. Imagine developing custom drugs tailored to specific genotypes based on statistical analysis of single nucleotide polymorphisms across individuals and their correlation with gene functions. Although they involve disparate sciences, these three scenarios share a common theme. They depend on joining a new generation of high-resolution scientific instruments, high-performance computing (HPC) systems, and large-scale scientific data archives via high-speed networks and a software infrastructure that enables resource and data sharing by collaborating groups of distributed researchers.