Fault-Tolerance Techniques for High-Performance Computing

This timely text presents a comprehensive overview of fault tolerance techniques for high-performance computing (HPC). The text opens with a detailed introduction to the concepts of checkpoint protocols and scheduling algorithms, prediction, replication, silent error detection and correction, together with some application-specific techniques such as ABFT. Emphasis is placed on analytical performance models. This is then followed by a review of general-purpose techniques, including several checkpoint and rollback recovery protocols. Relevant execution scenarios are also evaluated and compared through quantitative models. Features: provides a survey of resilience methods and performance models; examines the various sources for errors and faults in large-scale systems; reviews the spectrum of techniques that can be applied to design a fault-tolerant MPI; investigates different approaches to replication; discusses the challenge of energy consumption of fault-tolerance methods in extreme-scale systems.

The first complete overview of this increasingly important field Presents a unique, rigorous approach based on the design of analytical models to predict performance Provides a coherent collection of valuable insights from internationally-renowned experts with considerable expertise Includes supplementary material: sn.pub/extras

Klappentext

This timely text/reference presents a comprehensive overview of fault tolerance techniques for high-performance computing (HPC).

The text opens with a detailed introduction to the concepts of checkpoint protocols and scheduling algorithms, prediction, replication, silent error detection and correction, together with some application-specific techniques such as algorithm-based fault tolerance. Emphasis is placed on analytical performance models. This is then followed by a review of general-purpose techniques, including several checkpoint and rollback recovery protocols. Relevant execution scenarios are also evaluated and compared through quantitative models.

Topics and features:

• Includes self-contained contributions from an international selection of preeminent experts
• Provides a survey of resilience methods and performance models
• Examines the various sources for errors and faults in large-scale systems, detailing their characteristics, with a focus on modeling, detection and prediction
• Reviews the spectrum of techniques that can be applied to design a fault-tolerant message passing interface
• Investigates different approaches to replication, comparing these to the traditional checkpoint-recovery approach
• Discusses the challenge of energy consumption of fault-tolerance methods in extreme-scale systems, proposing a methodology to estimate such energy consumption This authoritative volume is essential reading for all researchers and graduate students involved in high-performance computing.

Dr. Thomas Herault is a Research Scientist in the Innovative Computing Laboratory (ICL) at the University of Tennessee Knoxville, TN, USA. Dr. Yves Robert is a Professor in the Laboratory of Parallel Computing at the Ecole Normale Supérieure de Lyon, France, and a Visiting Research Scholar in the ICL.

Inhalt

Part I: General Overview.- Fault-Tolerance Techniques for High-Performance Computing.- Part II: Technical Contributions.- Errors and Faults.- Fault-Tolerant MPI.- Using Replication for Resilience on Exascale Systems.- Energy-Aware Check pointing Strategies.