sponsored byIEEEACMThe International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 16-21, 2014

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Lossy Compression for Checkpointing: Fallible or Feasible?

SESSION: Poster Reception


TIME: 5:15PM - 7:00PM

AUTHOR(S):Xiang Ni, Tanzima Islam, Kathryn Mohror, Adam Moody, Laxmikant V. Kale

ROOM:New Orleans Theater Lobby


As HPC applications scale to hundreds of thousands of processors, large checkpoints consume a lot of space making it costly to fit them in memory or burst buffers. It also takes a significant amount of time to transfer them to stable storage. Lossless compression fail to reduce the size of such checkpoints due to randomness in the lower bits of typical floating point scientific data. To address this challenge, we propose use of lossy compression for reducing checkpoint size significantly, and study its impact on correctness of application execution. We study the trade-off between the loss of precision, compression ratio, and correctness due to lossy compression. For ChaNGa, we show that use of moderate lossy compression reduces checkpoint size by 3-5x while maintaining correctness. Finally, we inject failures following different distributions to study whether an application is more sensitive to precision loss at earlier or later stages of the simulation.

Chair/Author Details:

Xiang Ni - University of Illinois at Urbana-Champaign

Tanzima Islam - Lawrence Livermore National Laboratory

Kathryn Mohror - Lawrence Livermore National Laboratory

Adam Moody - Lawrence Livermore National Laboratory

Laxmikant V. Kale - University of Illinois at Urbana-Champaign

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