Towards parallel access of multi-dimensional, multi-resolution scientific data

@article{Kumar2010TowardsPA,
  title={Towards parallel access of multi-dimensional, multi-resolution scientific data},
  author={Shaun S Kumar and Valerio Pascucci and Venkatram Vishwanath and Philip H. Carns and Mark Hereld and Robert Latham and Tom Peterka and M E Papka and Robert H. Ross},
  journal={2010 5th Petascale Data Storage Workshop (PDSW '10)},
  year={2010},
  pages={1-5}
}
Large-scale scientific simulations routinely produce data of increasing resolution. Analyzing this data is key to scientific discovery. A critical bottleneck facing data analysis is the I/O time to access the data due to the disparity between a simulation's data layout and the data layout requirements of analysis applications. One method of addressing this problem is to reorganize the data in a manner that makes it more amenable to analysis and visualization. The IDX file format is one example… CONTINUE READING
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