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We describe a method for evaluating computational turbulence queries, including Lagrange Polynomial interpolation, based on partial sums that allows the underlying data to be accessed in any order and in parts. We exploit these properties to stream data from disk in a single pass and concurrently evaluate batch queries. The combination of sequential I/O and data sharing improves performance by an order of magnitude when compared with direct evaluation of each query. The technique also supportsdoi:10.1145/2063384.2063423 dblp:conf/sc/KanovPBAS11 fatcat:lo7pqmg6vzbjfg4tqvlr5pa7vq