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SCHEDULE: NOV 16-21, 2014
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
Toward Effective Detection of Silent Data Corruptions for HPC Applications
SESSION: Poster Reception
EVENT TYPE: Posters
TIME: 5:15PM - 7:00PM
AUTHOR(S):Sheng Di, Eduardo Berrocal, Leonardo Bautista-Gomez, Katherine Heisey, Rinku Gupta, Franck Cappello
ROOM:New Orleans Theater Lobby
ABSTRACT:
Because of the large number of components, future extreme-scale systems are expected to suffer a lot of silent data corruptions. Changes caused by silent errors flipping low-order bit positions are very small, making them difficult to detect by software. In this work, we convert the detection problem to a one-step look-ahead prediction issue and explore the most effective prediction methods for different HPC applications. We exploit the Auto Regressive (AR) model, Auto Regressive Moving Average (ARMA) Model, Linear Curve Fitting (LCF), and Quadratic Curve Fitting (QCF). We evaluate them using real HPC application traces. Experiments show that the error feed-back control plays an important role in improving detection. AR and QCF perform the best among all evaluated methods, where F-measure can be kept around 80% for silent bit-flip errors occurring around the bit position 20 for double-precision data or around bit 8 for single-precision data.
Chair/Author Details:
Sheng Di - French Institute for Research in Computer Science and Automation and Argonne National Laboratory
Eduardo Berrocal - Illinois Institute of Technology
Leonardo Bautista-Gomez - Argonne National Laboratory
Katherine Heisey - Argonne National Laboratory
Rinku Gupta - Argonne National Laboratory
Franck Cappello - Argonne National Laboratory
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