KEYWORDS: Visualization, Data storage, Data centers, Volume visualization, Java, Data processing, Operating systems, Data acquisition, Visual analytics, Time metrology
In this paper we propose a technique called storage-aware spatial prefetching that can provide significant performance
improvements for out-of-core visualization. This approach is motivated by file chunking in which a
multidimensional data file is reorganized into multidimensional sub-blocks that are stored linearly in the file.
This increases the likelihood that data close in the n-dimensional volume represented by the file will be closer
together in the physical file. Chunking has been demonstrated to improve the typical access to such data, but it
requires a complete re-organization of the file and sometimes efficient access is only achieved if multiple different
chunking organizations are maintained simultaneously. Our approach can be thought of as on-the-fly chunking,
but it does not require physical re-organization of the data or multiple copies with different formats. We also
describe an implementation of our technique and provide some performance results that are very promising.
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