@inproceedings{e970fe0066af49f6b1672c44773842a7,
title = "A Resilient Framework for Iterative Linear Algebra Applications in X10",
abstract = "The Global Matrix Library (GML) is a distributed matrix library in the X10 language. GML is designed to simplify the development of scalable linear algebra applications. By hiding the communication and parallelism details, GML programs are written in a sequential style that is easy to use and understand by non expert programmers. Resilience is becoming a major challenge for HPC applications as the number of components in a typical system continues to increase. To address this challenge, we improved GML's adaptability to process failure and provided a mechanism for automatic data recovery. As iterative algorithms are commonly used in linear algebra applications, we also created a checkpoint/restore framework for developing resilient iterative applications using GML. Using three example machine learning applications, we demonstrate that this framework supports resilient application development with minimal additional code compared to a non-resilient implementation. Performance measurements in a typical cluster environment show that the major cost of resilient execution is due to resilient X10 itself, and that the additional cost due to our framework is acceptable.",
keywords = "Checkpoint/Restart, Global Matrix Library, Iterative Algorithms, Resilience, X10",
author = "Hamouda, {Sara S.} and Josh Milthorpe and Strazdins, {Peter E.} and Vijay Saraswat",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 29th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015 ; Conference date: 25-05-2015 Through 29-05-2015",
year = "2015",
month = sep,
day = "29",
doi = "10.1109/IPDPSW.2015.14",
language = "English",
series = "Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "970--979",
booktitle = "Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015",
address = "United States",
}