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IEEE Transactions on Visualization and Computer Graphics
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VIS '92 Proceedings of the 3rd conference on Visualization '92
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IEEE Transactions on Visualization and Computer Graphics
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DCC '07 Proceedings of the 2007 Data Compression Conference
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Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
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ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
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IPDPS '13 Proceedings of the 2013 IEEE 27th International Symposium on Parallel and Distributed Processing
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This paper examines whether lossy compression can be used effectively in physics simulations as a possible strategy to combat the expected data-movement bottleneck in future high performance computing architectures. We show that, for the codes and simulations we tested, compression levels of 3--5X can be applied without causing significant changes to important physical quantities. Rather than applying signal processing error metrics, we utilize physics-based metrics appropriate for each code to assess the impact of compression. We evaluate three different simulation codes: a Lagrangian shock-hydrodynamics code, an Eulerian higher-order hydrodynamics turbulence modeling code, and an Eulerian coupled laser-plasma interaction code. We compress relevant quantities after each time-step to approximate the effects of tightly coupled compression and study the compression rates to estimate memory and disk-bandwidth reduction. We find that the error characteristics of compression algorithms must be carefully considered in the context of the underlying physics being modeled.