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  1. Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS '15)
  2. Transient Fault Resilient QR Factorization on GPUs
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Failures in Large-Scale Systems: Insights from the Field
A Principled Approach to HPC Event Monitoring
Resilient Matrix Multiplication of Hierarchical Semi-Separable Matrices
How Much SSD Is Useful for Resilience in Supercomputers
LogDiver: A Tool for Measuring Resilience of Extreme-Scale Systems and Applications
Voltage Overscaling Algorithms for Energy-Efficient Workflow Computations With Timing Errors
The Path to Exascale: Code Optimizations and Hardening Solutions Reliability
Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection
Transient Fault Resilient QR Factorization on GPUs
Evolving the Message Passing Programming Model via a Fault-Tolerant, Object-oriented Transport Layer

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Transient Fault Resilient QR Factorization on GPUs

Content Provider ACM Digital Library
Author Saluja, Kewal K. Loh, Felix Ramanathan, Parameswaran
Abstract With their inherent capability to exploit parallelism, GPUs have become a popular platform for data-intensive scientific computing applications. This trend is expected to continue as the number of computations required by scientific applications reach the petascale and even exascale range. As the minimum feature size of transistors decreases due to improving process technology, GPUs are becoming more vulnerable to transient faults caused by events such as power fluctuations and alpha particle strikes, therefore we need methods that guarantee correct computation even in the presence of such faults. In this paper, we develop and analyze three fault tolerant schemes, FC-O, PC-C and PC-CS, for the block Householder QR algorithm that can deal with faults in the streaming processor (SP) core of a GPU. We also present a transient fault injection mechanism for NVIDIA GPUs, which has the capability of injecting faults of varying durations. We show that two of our schemes, PC-C and PC-CS, have good error coverage and relatively low overhead, and can scale reasonably well at the petascale and exascale range.
Starting Page 63
Ending Page 70
Page Count 8
File Format PDF
ISBN 9781450335690
DOI 10.1145/2751504.2751505
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-06-15
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Checkpointing Fault tolerance Householder qr Fault injection Gpu
Content Type Text
Resource Type Article
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