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SCHEDULE: NOV 16-21, 2014
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Optimization of Multi-Level Checkpoint Model with Uncertain Execution Scales
SESSION: Optimized Checkpointing
EVENT TYPE: Papers
TIME: 2:30PM - 3:00PM
SESSION CHAIR: Patrick Bridges
AUTHOR(S):Sheng Di, Leonardo Bautista-Gomez, Franck Cappello
ROOM:393-94-95
ABSTRACT:
Future extreme-scale systems are expected to experience different types of failures affecting applications with different failure scales, from transient uncorrectable memory errors in processes to massive system outages. In this paper, we propose a multilevel checkpoint model by taking into account uncertain execution scales (different numbers of processes/cores). The contribution is threefold: (1) we provide an in-depth analysis on why it is difficult to derive the optimal checkpoint intervals for different checkpoint levels and optimize the number of cores simultaneously; (2) we devise a novel method that can quickly obtain an optimized solution - the first successful attempt in multilevel checkpoint models with uncertain scales; and (3) we perform both large-scale real experiments and extreme-scale numerical simulation to validate the effectiveness of our design. The experiments confirm that our optimized solution outperforms other state-of-the-art solutions by 4.3-88% on wall-clock length.
Chair/Author Details:
Patrick Bridges (Chair) - University of New Mexico
Sheng Di - French Institute for Research in Computer Science and Automation and Argonne National Laboratory
Leonardo Bautista-Gomez - Argonne National Laboratory
Franck Cappello - Argonne National Laboratory
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