11246

A Pervasive Parallel Framework for Visualization

Kenneth Moreland
Sandia National Laboratories, Albuquerque, New Mexico 87185 and Livermore, California 94550
Sandia National Laboratories, Tech Report SAND 2014-0047, 2014

@article{moreland2014pervasive,

   title={A Pervasive Parallel Framework for Visualization},

   author={Moreland, Kenneth},

   year={2014}

}

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We are on the threshold of a transformative change in the basic architecture of high-performance computing. The use of accelerator processors, characterized by large core counts, shared but asymmetrical memory, and heavy thread loading, is quickly becoming the norm in high performance computing. These accelerators represent significant challenges in updating our existing base of software. An intrinsic problem with this transition is a fundamental programming shift from message passing processes to much more fine thread scheduling with memory sharing. Another problem is the lack of stability in accelerator implementation; processor and compiler technology is currently changing rapidly. This report documents the results of our three-year ASCR project to address these challenges. Our project includes the development of the Dax toolkit, which contains the beginnings of new algorithms for a new generation of computers and the underlying infrastructure to rapidly prototype and build further algorithms as necessary.
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