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    Article

    Characterizing and modeling cloud applications/jobs on a Google data center

    In this paper, we characterize and model Google applications and jobs, based on a 1-month Google trace from a large-scale Google data center. We address four contributions: (1) we compute the valuable statisti...

    Sheng Di, Derrick Kondo, Franck Cappello in The Journal of Supercomputing (2014)

  2. Chapter and Conference Paper

    Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications

    Silent data corruption (SDC) poses a great challenge for high-performance computing (HPC) applications as we move to extreme-scale systems. If not dealt with properly, SDC has the potential to influence import...

    Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di in Euro-Par 2016: Parallel Processing (2016)

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    Chapter and Conference Paper

    Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets

    Because of the vast volume of data being produced by today’s scientific simulations, lossy compression allowing user-controlled information loss can significantly reduce the data size and the I/O burden. Howev...

    Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello in High Performance Computing (2017)

  4. Chapter and Conference Paper

    Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales

    A growing disparity between supercomputer computation speeds and I/O rates makes it increasingly infeasible for applications to save all results for offline analysis. Instead, applications must analyze and red...

    Ian Foster, Mark Ainsworth, Bryce Allen, Julie Bessac in Euro-Par 2017: Parallel Processing (2017)