Predictive Reliability and Fault Management in Exascale Systems

Author:

Canal Ramon1,Hernandez Carles2,Tornero Rafa2,Cilardo Alessandro3,Massari Giuseppe4,Reghenzani Federico4,Fornaciari William4,Zapater Marina5,Atienza David5,Oleksiak Ariel6,PiĄtek Wojciech6,Abella Jaume7

Affiliation:

1. Universitat Politècnica de Catalunya (UPC) and Barcelona Supercomputing Center (BSC)

2. Universitat Politècnica de València (UPV)

3. Universitá degli studi di Napoli Federico II (UNINA)

4. Politecnico di Milano (POLIMI)

5. Ecole Polytechnique Federale de Lausanne (EPFL)

6. Poznan Supercomputing and Networking Center (PSNC)

7. Barcelona Supercomputing Center (BSC)

Abstract

Performance and power constraints come together with Complementary Metal Oxide Semiconductor technology scaling in future Exascale systems. Technology scaling makes each individual transistor more prone to faults and, due to the exponential increase in the number of devices per chip, to higher system fault rates. Consequently, High-performance Computing (HPC) systems need to integrate prediction, detection, and recovery mechanisms to cope with faults efficiently. This article reviews fault detection, fault prediction, and recovery techniques in HPC systems, from electronics to system level. We analyze their strengths and limitations. Finally, we identify the promising paths to meet the reliability levels of Exascale systems.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference183 articles.

1. WCET analysis methods: Pitfalls and challenges on their trustworthiness

2. E. Agullo L. Giraud A. Guermouche J. Roman and M. Zounon. 2013. Towards resilient parallel linear Krylov solvers: Recover-restart strategies. INRIA Research Report RR-8324. E. Agullo L. Giraud A. Guermouche J. Roman and M. Zounon. 2013. Towards resilient parallel linear Krylov solvers: Recover-restart strategies. INRIA Research Report RR-8324.

3. Interpolation-Restart Strategies for Resilient Eigensolvers

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