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Title: Resiliency in numerical algorithm design for extreme scale simulations

Abstract

Here this work is based on the seminar titled ‘Resiliency in Numerical Algorithm Design for Extreme Scale Simulations’ held March 1–6, 2020, at Schloss Dagstuhl, that was attended by all the authors. Advanced supercomputing is characterized by very high computation speeds at the cost of involving an enormous amount of resources and costs. A typical large-scale computation running for 48 h on a system consuming 20 MW, as predicted for exascale systems, would consume a million kWh, corresponding to about 100k Euro in energy cost for executing 1023 floating-point operations. It is clearly unacceptable to lose the whole computation if any of the several million parallel processes fails during the execution. Moreover, if a single operation suffers from a bit-flip error, should the whole computation be declared invalid? What about the notion of reproducibility itself: should this core paradigm of science be revised and refined for results that are obtained by large-scale simulation? Naive versions of conventional resilience techniques will not scale to the exascale regime: with a main memory footprint of tens of Petabytes, synchronously writing checkpoint data all the way to background storage at frequent intervals will create intolerable overheads in runtime and energy consumption. Forecasts show that the meanmore » time between failures could be lower than the time to recover from such a checkpoint, so that large calculations at scale might not make any progress if robust alternatives are not investigated. More advanced resilience techniques must be devised. The key may lie in exploiting both advanced system features as well as specific application knowledge. Research will face two essential questions: (1) what are the reliability requirements for a particular computation and (2) how do we best design the algorithms and software to meet these requirements? While the analysis of use cases can help understand the particular reliability requirements, the construction of remedies is currently wide open. One avenue would be to refine and improve on system- or application-level checkpointing and rollback strategies in the case an error is detected. Developers might use fault notification interfaces and flexible runtime systems to respond to node failures in an application-dependent fashion. Novel numerical algorithms or more stochastic computational approaches may be required to meet accuracy requirements in the face of undetectable soft errors. These ideas constituted an essential topic of the seminar. The goal of this Dagstuhl Seminar was to bring together a diverse group of scientists with expertise in exascale computing to discuss novel ways to make applications resilient against detected and undetected faults. In particular, participants explored the role that algorithms and applications play in the holistic approach needed to tackle this challenge. This article gathers a broad range of perspectives on the role of algorithms, applications and systems in achieving resilience for extreme scale simulations. The ultimate goal is to spark novel ideas and encourage the development of concrete solutions for achieving such resilience holistically.« less

Authors:
 [1];  [2];  [3];  [4];  [5];  [5];  [6];  [7];  [8];  [9];  [6];  [10];  [11];  [12];  [1];  [2];  [10];  [13];  [10];  [14] more »;  [15];  [2];  [16];  [6];  [17];  [18];  [19];  [6];  [20];  [21]; ORCiD logo [20];  [22];  [15];  [10];  [6];  [6] « less
+ Show Author Affiliations
  1. National Institute for Research in Digital Science and Technology (Inria), Rocquencourt (France)
  2. Univ. of Stuttgart (Germany)
  3. Karlsruher Institute of Technology (Germany)
  4. Barcelona Supercomputing Center (Spain)
  5. Polytechnic Univ. of Milan (Italy)
  6. Technical Univ. of Munich (Germany)
  7. NVIDIA Corporation, Santa Clara, CA (United States)
  8. Univ. of Basel (Switzerland)
  9. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  10. Univ. of Erlangen, Nuremberg (Germany)
  11. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  12. Univ. of Vienna (Austria)
  13. Paris-Pantheon-Assas Univ., Paris (France)
  14. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  15. Univ. of Bordeaux (France)
  16. Cerfacs, Toulouse (France)
  17. Polytechnic Univ. of Valencia (UPV) (Spain)
  18. NexGen Analytics, Sheridan, WY (United States)
  19. Univ. of Erlangen, Nuremberg (Germany); Cerfacs, Toulouse (France)
  20. Australian National Univ., Canberra, ACT (Australia)
  21. Forschungszentrum Jülich GmbH (Germany)
  22. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1855669
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
International Journal of High Performance Computing Applications
Additional Journal Information:
Journal Volume: 36; Journal Issue: 2; Journal ID: ISSN 1094-3420
Publisher:
SAGE
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; numerical algorithms; parallel computer architecture; fault tolerance; resilience

Citation Formats

Agullo, Emmanuel, Altenbernd, Mirco, Anzt, Hartwig, Bautista-Gomez, Leonardo, Benacchio, Tommaso, Bonaventura, Luca, Bungartz, Hans-Joachim, Chatterjee, Sanjay, Ciorba, Florina M., DeBardeleben, Nathan, Drzisga, Daniel, Eibl, Sebastian, Engelmann, Christian, Gansterer, Wilfried N., Giraud, Luc, Göddeke, Dominik, Heisig, Marco, Jézéquel, Fabienne, Kohl, Nils, Li, Xiaoye Sherry, Lion, Romain, Mehl, Miriam, Mycek, Paul, Obersteiner, Michael, Quintana-Ortí, Enrique S., Rizzi, Francesco, Rüde, Ulrich, Schulz, Martin, Fung, Fred, Speck, Robert, Stals, Linda, Teranishi, Keita, Thibault, Samuel, Thönnes, Dominik, Wagner, Andreas, and Wohlmuth, Barbara. Resiliency in numerical algorithm design for extreme scale simulations. United States: N. p., 2021. Web. doi:10.1177/10943420211055188.
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Agullo, Emmanuel, Altenbernd, Mirco, Anzt, Hartwig, Bautista-Gomez, Leonardo, Benacchio, Tommaso, Bonaventura, Luca, Bungartz, Hans-Joachim, Chatterjee, Sanjay, Ciorba, Florina M., DeBardeleben, Nathan, Drzisga, Daniel, Eibl, Sebastian, Engelmann, Christian, Gansterer, Wilfried N., Giraud, Luc, Göddeke, Dominik, Heisig, Marco, Jézéquel, Fabienne, Kohl, Nils, Li, Xiaoye Sherry, Lion, Romain, Mehl, Miriam, Mycek, Paul, Obersteiner, Michael, Quintana-Ortí, Enrique S., Rizzi, Francesco, Rüde, Ulrich, Schulz, Martin, Fung, Fred, Speck, Robert, Stals, Linda, Teranishi, Keita, Thibault, Samuel, Thönnes, Dominik, Wagner, Andreas, & Wohlmuth, Barbara. Resiliency in numerical algorithm design for extreme scale simulations. United States. https://doi.org/10.1177/10943420211055188
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Agullo, Emmanuel, Altenbernd, Mirco, Anzt, Hartwig, Bautista-Gomez, Leonardo, Benacchio, Tommaso, Bonaventura, Luca, Bungartz, Hans-Joachim, Chatterjee, Sanjay, Ciorba, Florina M., DeBardeleben, Nathan, Drzisga, Daniel, Eibl, Sebastian, Engelmann, Christian, Gansterer, Wilfried N., Giraud, Luc, Göddeke, Dominik, Heisig, Marco, Jézéquel, Fabienne, Kohl, Nils, Li, Xiaoye Sherry, Lion, Romain, Mehl, Miriam, Mycek, Paul, Obersteiner, Michael, Quintana-Ortí, Enrique S., Rizzi, Francesco, Rüde, Ulrich, Schulz, Martin, Fung, Fred, Speck, Robert, Stals, Linda, Teranishi, Keita, Thibault, Samuel, Thönnes, Dominik, Wagner, Andreas, and Wohlmuth, Barbara. Fri . "Resiliency in numerical algorithm design for extreme scale simulations". United States. https://doi.org/10.1177/10943420211055188. https://www.osti.gov/servlets/purl/1855669.
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@article{osti_1855669,
title = {Resiliency in numerical algorithm design for extreme scale simulations},
author = {Agullo, Emmanuel and Altenbernd, Mirco and Anzt, Hartwig and Bautista-Gomez, Leonardo and Benacchio, Tommaso and Bonaventura, Luca and Bungartz, Hans-Joachim and Chatterjee, Sanjay and Ciorba, Florina M. and DeBardeleben, Nathan and Drzisga, Daniel and Eibl, Sebastian and Engelmann, Christian and Gansterer, Wilfried N. and Giraud, Luc and Göddeke, Dominik and Heisig, Marco and Jézéquel, Fabienne and Kohl, Nils and Li, Xiaoye Sherry and Lion, Romain and Mehl, Miriam and Mycek, Paul and Obersteiner, Michael and Quintana-Ortí, Enrique S. and Rizzi, Francesco and Rüde, Ulrich and Schulz, Martin and Fung, Fred and Speck, Robert and Stals, Linda and Teranishi, Keita and Thibault, Samuel and Thönnes, Dominik and Wagner, Andreas and Wohlmuth, Barbara},
abstractNote = {Here this work is based on the seminar titled ‘Resiliency in Numerical Algorithm Design for Extreme Scale Simulations’ held March 1–6, 2020, at Schloss Dagstuhl, that was attended by all the authors. Advanced supercomputing is characterized by very high computation speeds at the cost of involving an enormous amount of resources and costs. A typical large-scale computation running for 48 h on a system consuming 20 MW, as predicted for exascale systems, would consume a million kWh, corresponding to about 100k Euro in energy cost for executing 1023 floating-point operations. It is clearly unacceptable to lose the whole computation if any of the several million parallel processes fails during the execution. Moreover, if a single operation suffers from a bit-flip error, should the whole computation be declared invalid? What about the notion of reproducibility itself: should this core paradigm of science be revised and refined for results that are obtained by large-scale simulation? Naive versions of conventional resilience techniques will not scale to the exascale regime: with a main memory footprint of tens of Petabytes, synchronously writing checkpoint data all the way to background storage at frequent intervals will create intolerable overheads in runtime and energy consumption. Forecasts show that the mean time between failures could be lower than the time to recover from such a checkpoint, so that large calculations at scale might not make any progress if robust alternatives are not investigated. More advanced resilience techniques must be devised. The key may lie in exploiting both advanced system features as well as specific application knowledge. Research will face two essential questions: (1) what are the reliability requirements for a particular computation and (2) how do we best design the algorithms and software to meet these requirements? While the analysis of use cases can help understand the particular reliability requirements, the construction of remedies is currently wide open. One avenue would be to refine and improve on system- or application-level checkpointing and rollback strategies in the case an error is detected. Developers might use fault notification interfaces and flexible runtime systems to respond to node failures in an application-dependent fashion. Novel numerical algorithms or more stochastic computational approaches may be required to meet accuracy requirements in the face of undetectable soft errors. These ideas constituted an essential topic of the seminar. The goal of this Dagstuhl Seminar was to bring together a diverse group of scientists with expertise in exascale computing to discuss novel ways to make applications resilient against detected and undetected faults. In particular, participants explored the role that algorithms and applications play in the holistic approach needed to tackle this challenge. This article gathers a broad range of perspectives on the role of algorithms, applications and systems in achieving resilience for extreme scale simulations. The ultimate goal is to spark novel ideas and encourage the development of concrete solutions for achieving such resilience holistically.},
doi = {10.1177/10943420211055188},
journal = {International Journal of High Performance Computing Applications},
number = 2,
volume = 36,
place = {United States},
year = {Fri Dec 10 00:00:00 EST 2021},
month = {Fri Dec 10 00:00:00 EST 2021}
}
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  • Altenbernd, Mirco; Göddeke, Dominik
  • The International Journal of High Performance Computing Applications, Vol. 32, Issue 6
  • DOI: 10.1177/1094342016684006

Evaluating Support for OpenMP Offload Features
conference, January 2018

  • Diaz, Jose Monsalve; Pophale, Swaroop; Friedline, Kyle
  • Proceedings of the 47th International Conference on Parallel Processing Companion - ICPP '18
  • DOI: 10.1145/3229710.3229717

Anisotropic mesh adaptivity for multi-scale ocean modelling
journal, November 2009

  • Piggott, M. D.; Farrell, P. E.; Wilson, C. R.
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 367, Issue 1907
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Fine-Grained Parallel Incomplete LU Factorization
journal, January 2015

  • Chow, Edmond; Patel, Aftab
  • SIAM Journal on Scientific Computing, Vol. 37, Issue 2
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Recovery Patterns for Iterative Methods in a Parallel Unstable Environment
journal, January 2008

  • Langou, J.; Chen, Z.; Bosilca, G.
  • SIAM Journal on Scientific Computing, Vol. 30, Issue 1
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Evaluating Online Global Recovery with Fenix Using Application-Aware In-Memory Checkpointing Techniques
conference, August 2016

  • Gamell, Marc; Katz, Daniel S.; Teranishi, Keita
  • 2016 45th International Conference on Parallel Processing Workshops (ICPPW)
  • DOI: 10.1109/ICPPW.2016.56

ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner
conference, May 2016

  • Rizzi, Francesco; Morris, Karla; Sargsyan, Khachik
  • HPDC'16: The 25th International Symposium on High-Performance Parallel and Distributed Computing, Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale
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Resilient gossip-inspired all-reduce algorithms for high-performance computing: Potential, limitations, and open questions
journal, April 2018

  • Casas, Marc; Gansterer, Wilfried N.; Wimmer, Elias
  • The International Journal of High Performance Computing Applications, Vol. 33, Issue 2
  • DOI: 10.1177/1094342018762531

Unified fault-tolerance framework for hybrid task-parallel message-passing applications
journal, September 2016

  • Subasi, Omer; Martsinkevich, Tatiana; Zyulkyarov, Ferad
  • The International Journal of High Performance Computing Applications, Vol. 32, Issue 5
  • DOI: 10.1177/1094342016669416

A method of finite element tearing and interconnecting and its parallel solution algorithm
journal, October 1991

  • Farhat, Charbel; Roux, Francois-Xavier
  • International Journal for Numerical Methods in Engineering, Vol. 32, Issue 6
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REFINE: realistic fault injection via compiler-based instrumentation for accuracy, portability and speed
conference, November 2017

  • Georgakoudis, Giorgis; Laguna, Ignacio; Nikolopoulos, Dimitrios S.
  • SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
  • DOI: 10.1145/3126908.3126972

Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications
conference, May 2014

  • Di, Sheng; Bouguerra, Mohamed Slim; Bautista-Gomez, Leonardo
  • 2014 IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2014 IEEE 28th International Parallel and Distributed Processing Symposium
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Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations
journal, January 2017

  • Mycek, Paul; Rizzi, Francesco; Maître, Olivier Le
  • SIAM Journal on Scientific Computing, Vol. 39, Issue 1
  • DOI: 10.1137/15M1051786

Extending and Evaluating Fault-Tolerant Preconditioned Conjugate Gradient Methods
conference, November 2018

  • Pachajoa, Carlos; Levonyak, Markus; Gansterer, Wilfried N.
  • 2018 IEEE/ACM 8th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)
  • DOI: 10.1109/FTXS.2018.00009

Numerical recovery strategies for parallel resilient Krylov linear solvers: RESILIENCY IN KRYLOV LINEAR SOLVERS
journal, August 2016

  • Agullo, Emmanuel; Giraud, Luc; Guermouche, Abdou
  • Numerical Linear Algebra with Applications, Vol. 23, Issue 5
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Toward a Performance/Resilience Tool for Hardware/Software Co-design of High-Performance Computing Systems
conference, October 2013

  • Engelmann, Christian; Naughton, Thomas
  • 2013 42nd International Conference on Parallel Processing (ICPP)
  • DOI: 10.1109/ICPP.2013.114

Debugging and Optimization of HPC Programs with the Verrou Tool
conference, November 2019

  • Fevotte, Francois; Lathuiliere, Bruno
  • 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness)
  • DOI: 10.1109/Correctness49594.2019.00006

CPPC: a compiler-assisted tool for portable checkpointing of message-passing applications: CPPC: COMPILER-ASSISTED PORTABLE CHECKPOINTING
journal, November 2009

  • Rodríguez, Gabriel; Martín, María J.; González, Patricia
  • Concurrency and Computation: Practice and Experience, Vol. 22, Issue 6
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Local rollback for resilient MPI applications with application-level checkpointing and message logging
journal, February 2019

A SIMD-based software fault tolerance for ARM processors
conference, May 2017

  • Lin, Shun-Zhi; Chen, Peng-Sheng
  • 2017 International Conference on Applied System Innovation (ICASI)
  • DOI: 10.1109/ICASI.2017.7988587

Improving Application Resilience by Extending Error Correction with Contextual Information
conference, November 2018

  • Poulos, Alexandra; Wallace, Dylan; Robey, Robert
  • 2018 IEEE/ACM 8th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)
  • DOI: 10.1109/FTXS.2018.00006

DIVA: a reliable substrate for deep submicron microarchitecture design
conference, January 1999

  • Austin, T. M.
  • MICRO-32. 32nd Annual ACM/IEEE International Symposium on Microarchitecture, MICRO-32. Proceedings of the 32nd Annual ACM/IEEE International Symposium on Microarchitecture
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Improving performance of iterative methods by lossy checkponting
conference, January 2018

  • Tao, Dingwen; Di, Sheng; Liang, Xin
  • Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing - HPDC '18
  • DOI: 10.1145/3208040.3208050

RAJA: Portable Performance for Large-Scale Scientific Applications
conference, November 2019

  • Beckingsale, David A.; Scogland, Thomas RW; Burmark, Jason
  • 2019 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC)
  • DOI: 10.1109/P3HPC49587.2019.00012

Fault-tolerant least squares solvers for wireless sensor networks based on gossiping
journal, February 2020

  • Prikopa, Karl E.; Gansterer, Wilfried N.
  • Journal of Parallel and Distributed Computing, Vol. 136
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Adaptive Impact-Driven Detection of Silent Data Corruption for HPC Applications
journal, October 2016

  • Di, Sheng; Cappello, Franck
  • IEEE Transactions on Parallel and Distributed Systems, Vol. 27, Issue 10
  • DOI: 10.1109/TPDS.2016.2517639

Chaotic relaxation
journal, April 1969

VOCL-FT: introducing techniques for efficient soft error coprocessor recovery
conference, November 2015

  • Peña, Antonio J.; Bland, Wesley; Balaji, Pavan
  • SC15: The International Conference for High Performance Computing, Networking, Storage and Analysis, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
  • DOI: 10.1145/2807591.2807640

Toward General Software Level Silent Data Corruption Detection for Parallel Applications
journal, December 2017

  • Berrocal, Eduardo; Bautista-Gomez, Leonardo; Di, Sheng
  • IEEE Transactions on Parallel and Distributed Systems, Vol. 28, Issue 12
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Stochastic subspace correction methods and fault tolerance
journal, August 2019

  • Griebel, Michael; Oswald, Peter
  • Mathematics of Computation, Vol. 89, Issue 321
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Tsunami modelling with adaptively refined finite volume methods
journal, April 2011

Proactive fault tolerance for HPC with Xen virtualization
conference, January 2007

  • Nagarajan, Arun Babu; Mueller, Frank; Engelmann, Christian
  • Proceedings of the 21st annual international conference on Supercomputing - ICS '07
  • DOI: 10.1145/1274971.1274978

Combining Partial Redundancy and Checkpointing for HPC
conference, June 2012

  • Elliott, James; Kharbas, Kishor; Fiala, David
  • 2012 IEEE 32nd International Conference on Distributed Computing Systems (ICDCS)
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Adaptive control in roll-forward recovery for extreme scale multigrid
journal, December 2018

  • Huber, Markus; Rüde, Ulrich; Wohlmuth, Barbara
  • The International Journal of High Performance Computing Applications, Vol. 33, Issue 5
  • DOI: 10.1177/1094342018817088

Kokkos: Enabling manycore performance portability through polymorphic memory access patterns
journal, December 2014

  • Carter Edwards, H.; Trott, Christian R.; Sunderland, Daniel
  • Journal of Parallel and Distributed Computing, Vol. 74, Issue 12
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SASSIFI: An architecture-level fault injection tool for GPU application resilience evaluation
conference, April 2017

  • Hari, Siva Kumar Sastry; Tsai, Timothy; Stephenson, Mark
  • 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
  • DOI: 10.1109/ISPASS.2017.7975296

Hybrid Checkpointing for MPI Jobs in HPC Environments
conference, December 2010

  • Wang, Chao; Mueller, Frank; Engelmann, Christian
  • 2010 IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS)
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Exploring versioned distributed arrays for resilience in scientific applications: global view resilience
journal, September 2016

  • Chien, A.; Balaji, P.; Dun, N.
  • The International Journal of High Performance Computing Applications, Vol. 31, Issue 6
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Fine-grained bit-flip protection for relaxation methods
journal, September 2019

  • Anzt, Hartwig; Dongarra, Jack; Quintana-Ortí, Enrique S.
  • Journal of Computational Science, Vol. 36
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A scalable and extensible checkpointing scheme for massively parallel simulations
journal, May 2018

  • Kohl, Nils; Hötzer, Johannes; Schornbaum, Florian
  • The International Journal of High Performance Computing Applications, Vol. 33, Issue 4
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Asynchronous Iterative Methods for Multiprocessors
journal, April 1978

Error detection by duplicated instructions in super-scalar processors
journal, March 2002

  • Oh, N.; Shirvani, P. P.; McCluskey, E. J.
  • IEEE Transactions on Reliability, Vol. 51, Issue 1
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Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization
conference, May 2017

  • Tao, Dingwen; Di, Sheng; Chen, Zizhong
  • 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • DOI: 10.1109/IPDPS.2017.115

Fault Tolerance Properties of Gossip-Based Distributed Orthogonal Iteration Methods
journal, January 2013

HPX: A Task Based Programming Model in a Global Address Space
conference, January 2014

  • Kaiser, Hartmut; Heller, Thomas; Adelstein-Lelbach, Bryce
  • Proceedings of the 8th International Conference on Partitioned Global Address Space Programming Models - PGAS '14
  • DOI: 10.1145/2676870.2676883

Scalable and fault tolerant orthogonalization based on randomized distributed data aggregation
journal, November 2013

  • Gansterer, Wilfried N.; Niederbrucker, Gerhard; Straková, Hana
  • Journal of Computational Science, Vol. 4, Issue 6
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Supporting highly-decoupled thread-level redundancy for parallel programs
conference, February 2008

  • Rashid, M. Wasiur; Huang, Michael C.
  • 2008 IEEE 14th International Symposium on High Performance Computer Architecture (HPCA)
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Parallel reduction to hessenberg form with algorithm-based fault tolerance
conference, November 2013

  • Jia, Yulu; Bosilca, George; Luszczek, Piotr
  • SC13: International Conference for High Performance Computing, Networking, Storage and Analysis, Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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Asynchronous Iterative Algorithms with Flexible Communication for Nonlinear Network Flow Problems
journal, October 1996

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The GeoClaw software for depth-averaged flows with adaptive refinement
journal, September 2011

ROSE::FTTransform - A source-to-source translation framework for exascale fault-tolerance research
conference, June 2012

  • Lidman, Jacob; Quinlan, Daniel J.; Liao, Chunhua
  • 2012 IEEE/IFIP 42nd International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN 2012)
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A scalable double in-memory checkpoint and restart scheme towards exascale
conference, June 2012

  • Zheng, Gengbin; Kale, Laxmikant V.
  • 2012 IEEE/IFIP 42nd International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN 2012)
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Regression with the optimised combination technique
conference, January 2006

  • Garcke, Jochen
  • Proceedings of the 23rd international conference on Machine learning - ICML '06
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Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets
conference, December 2018

Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale
conference, January 2017

  • Benoit, Anne; Cavelan, Aurélien; Cappello, Franck
  • Proceedings of the 2017 Workshop on Fault-Tolerance for HPC at Extreme Scale - FTXS '17
  • DOI: 10.1145/3086157.3086162

Blocking vs. Non-Blocking Coordinated Checkpointing for Large-Scale Fault Tolerant MPI
conference, November 2006

  • Coti, Camille; Herault, Thomas; Lemarinier, Pierre
  • SC 2006 Proceedings Supercomputing 2006, ACM/IEEE SC 2006 Conference (SC'06)
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Proactive process-level live migration and back migration in HPC environments
journal, February 2012

  • Wang, Chao; Mueller, Frank; Engelmann, Christian
  • Journal of Parallel and Distributed Computing, Vol. 72, Issue 2, p. 254-267
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Density Estimation with Adaptive Sparse Grids for Large Data Sets
conference, April 2014

  • Peherstorfer, Benjamin; Pflüge, Dirk; Bungartz, Hans-Joachim
  • Proceedings of the 2014 SIAM International Conference on Data Mining
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Programmer-directed partial redundancy for resilient HPC
conference, May 2015

  • Subasi, Omer; Arias, Javier; Unsal, Osman
  • CF'15: Computing Frontiers Conference, Proceedings of the 12th ACM International Conference on Computing Frontiers
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On the Resilience of Parallel Sparse Hybrid Solvers
conference, December 2015

  • Agullo, Emmanuel; Giraud, Luc; Zounon, Mawussi
  • 2015 IEEE 22nd International Conference on High Performance Computing (HiPC)
  • DOI: 10.1109/HiPC.2015.9

Does partial replication pay off?
conference, June 2012

  • Stearley, Jon; Ferreira, Kurt; Robinson, David
  • 2012 IEEE/IFIP 42nd International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN 2012)
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Proactive Fault Tolerance Using Preemptive Migration
conference, February 2009

  • Engelmann, Christian; Vallee, Geoffroy R.; Naughton, Thomas
  • 2009 17th Euromicro International Conference on Parallel, Distributed and Network-based Processing
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Design and modeling of a non-blocking checkpointing system
conference, November 2012

  • Sato, Kento; Maruyama, Naoya; Mohror, Kathryn
  • 2012 SC - International Conference for High Performance Computing, Networking, Storage and Analysis, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis
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FT-ScaLAPACK: correcting soft errors on-line for ScaLAPACK cholesky, QR, and LU factorization routines
conference, January 2014

  • Wu, Panruo; Chen, Zizhong
  • Proceedings of the 23rd international symposium on High-performance parallel and distributed computing - HPDC '14
  • DOI: 10.1145/2600212.2600232

Detection and correction of silent data corruption for large-scale high-performance computing
conference, November 2012

  • Fiala, David; Mueller, Frank; Engelmann, Christian
  • 2012 SC - International Conference for High Performance Computing, Networking, Storage and Analysis, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis
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Dynamic Malleability in Iterative MPI Applications
conference, May 2007

  • El Maghraoui, Kaoutar; Desell, Travis J.; Szymanski, Boleslaw K.
  • Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)
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A Pattern Language for High-Performance Computing Resilience
conference, July 2017

  • Hukerikar, Saurabh; Engelmann, Christian
  • EuroPLoP '17: European Conference on Pattern Languages of Programs, Proceedings of the 22nd European Conference on Pattern Languages of Programs
  • DOI: 10.1145/3147704.3147718

Asynchronous optimized Schwarz methods with and without overlap
journal, March 2017

  • Magoulès, Frédéric; Szyld, Daniel B.; Venet, Cédric
  • Numerische Mathematik, Vol. 137, Issue 1
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MACORD: Online Adaptive Machine Learning Framework for Silent Error Detection
conference, September 2017

  • Subasi, Omer; Di, Sheng; Balaprakash, Prasanna
  • 2017 IEEE International Conference on Cluster Computing (CLUSTER)
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F-SEFI: A Fine-Grained Soft Error Fault Injection Tool for Profiling Application Vulnerability
conference, May 2014

  • Guan, Qiang; Debardeleben, Nathan; Blanchard, Sean
  • 2014 IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2014 IEEE 28th International Parallel and Distributed Processing Symposium
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An ABFT Scheme Based on Communication Characteristics
conference, September 2016

  • Kabir, Upama; Goswami, Dhrubajyoti
  • 2016 IEEE International Conference on Cluster Computing (CLUSTER)
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SPBC: leveraging the characteristics of MPI HPC applications for scalable checkpointing
conference, November 2013

  • Ropars, Thomas; Martsinkevich, Tatiana V.; Guermouche, Amina
  • SC13: International Conference for High Performance Computing, Networking, Storage and Analysis, Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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Towards resilient EU HPC systems: a blueprint
conference, April 2019

  • Radojkovic, Petar
  • CF '19: Computing Frontiers Conference, Proceedings of the 16th ACM International Conference on Computing Frontiers
  • DOI: 10.1145/3310273.3323434

A conservative implicit multirate method for hyperbolic problems
journal, August 2018

  • Delpopolo Carciopolo, Ludovica; Bonaventura, Luca; Scotti, Anna
  • Computational Geosciences, Vol. 23, Issue 4
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D is CV ar: discovering critical variables using algorithmic differentiation for transient faults
journal, March 2018

Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver
conference, November 2016

  • Morris, K.; Rizzi, F.; Cook, B.
  • 2016 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA)
  • DOI: 10.1109/ScalA.2016.010

NanoCheckpoints: A Task-Based Asynchronous Dataflow Framework for Efficient and Scalable Checkpoint/Restart
conference, March 2015

  • Subasi, Omer; Arias, Javier; Unsal, Osman
  • 2015 23rd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
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Is the Multigrid Method Fault Tolerant? The Multilevel Case
journal, January 2017

  • Ainsworth, Mark; Glusa, Christian
  • SIAM Journal on Scientific Computing, Vol. 39, Issue 6
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A survey of rollback-recovery protocols in message-passing systems
journal, September 2002

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  • ACM Computing Surveys, Vol. 34, Issue 3
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Asynchronous Multigrid Methods
conference, May 2019

  • Wolfson-Pou, Jordi; Chow, Edmond
  • 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • DOI: 10.1109/IPDPS.2019.00021

A Runtime Heuristic to Selectively Replicate Tasks for Application-Specific Reliability Targets
conference, September 2016

  • Subasi, Omer; Yalcin, Gulay; Zyulkyarov, Ferad
  • 2016 IEEE International Conference on Cluster Computing (CLUSTER)
  • DOI: 10.1109/CLUSTER.2016.54

Basic concepts and taxonomy of dependable and secure computing
journal, January 2004

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  • IEEE Transactions on Dependable and Secure Computing, Vol. 1, Issue 1
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An algorithm-based error detection scheme for the multigrid method
journal, September 2003

Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression
conference, September 2020

Silent error detection in numerical time-stepping schemes
journal, April 2014

  • Benson, Austin R.; Schmit, Sven; Schreiber, Robert
  • The International Journal of High Performance Computing Applications, Vol. 29, Issue 4
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Transient-fault recovery using simultaneous multithreading
conference, January 2002

  • Vijaykumar, T. N.; Pomeranz, I.; Cheng, K.
  • Proceedings 29th Annual International Symposium on Computer Architecture
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Self-stabilizing systems in spite of distributed control
journal, November 1974

From tasks graphs to asynchronous distributed checkpointing with local restart
conference, November 2020

  • Lion, Romain; Thibault, Samuel
  • 2020 IEEE/ACM 10th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)
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On the Analysis of Block Smoothers for Saddle Point Problems
journal, January 2018

  • Drzisga, Daniel; John, Lorenz; Rüde, Ulrich
  • SIAM Journal on Matrix Analysis and Applications, Vol. 39, Issue 2
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Fault Tolerant Computation with the Sparse Grid Combination Technique
journal, January 2015

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  • SIAM Journal on Scientific Computing, Vol. 37, Issue 3
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Self-stabilizing iterative solvers
conference, January 2013

  • Sao, Piyush; Vuduc, Richard
  • Proceedings of the Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - ScalA '13
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Mini-Ckpts: Surviving OS Failures in Persistent Memory
conference, June 2016

  • Fiala, David; Mueller, Frank; Ferreira, Kurt
  • ICS '16: 2016 International Conference on Supercomputing, Proceedings of the 2016 International Conference on Supercomputing
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Massively Parallel Algorithms for the Lattice Boltzmann Method on NonUniform Grids
journal, January 2016

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Algorithm-Based Fault Tolerance for Convolutional Neural Networks
journal, January 2021

A Posteriori Error Estimates Based on Hierarchical Bases
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Performance of asynchronous optimized Schwarz with one-sided communication
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CHARM++: a portable concurrent object oriented system based on C++
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  • Proceedings of the eighth annual conference on Object-oriented programming systems, languages, and applications - OOPSLA '93
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Toward Local Failure Local Recovery Resilience Model using MPI-ULFM
conference, January 2014

  • Teranishi, Keita; Heroux, Michael A.
  • Proceedings of the 21st European MPI Users' Group Meeting on - EuroMPI/ASIA '14
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A Class of Multirate Infinitesimal GARK Methods
journal, January 2019

  • Sandu, Adrian
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Fast Error-Bounded Lossy HPC Data Compression with SZ
conference, May 2016

  • Di, Sheng; Cappello, Franck
  • 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Residual Replacement Strategies for Krylov Subspace Iterative Methods for the Convergence of True Residuals
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Dimension?Adaptive Tensor?Product Quadrature
journal, August 2003

FlipSphere: A Software-Based DRAM Error Detection and Correction Library for HPC
conference, September 2016

  • Fiala, David; Mueller, Frank; Ferreira, Kurt B.
  • 2016 IEEE/ACM 20th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)
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A semi-implicit, semi-Lagrangian discontinuous Galerkin framework for adaptive numerical weather prediction: SISL-DG Framework for Adaptive NWP
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Recent Advances and New Avenues in Hardware-Level Reliability Support
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Large-scale simulation of mantle convection based on a new matrix-free approach
journal, February 2019

Transparent, Incremental Checkpointing at Kernel Level: a Foundation for Fault Tolerance for Parallel Computers
conference, January 2005

  • Gioiosa, R.; Sancho, J. C.; Jiang, S.
  • ACM/IEEE SC 2005 Conference (SC'05)
  • DOI: 10.1109/SC.2005.76

Algorithm-Based Fault Tolerance for Matrix Operations
journal, June 1984

  • Kuang-Hua Huang, ; Abraham, Jacob A.
  • IEEE Transactions on Computers, Vol. C-33, Issue 6
  • DOI: 10.1109/TC.1984.1676475

OmpSs: A PROPOSAL FOR PROGRAMMING HETEROGENEOUS MULTI-CORE ARCHITECTURES
journal, June 2011

  • Duran, Alejandro; AyguadÉ, Eduard; Badia, Rosa M.
  • Parallel Processing Letters, Vol. 21, Issue 02
  • DOI: 10.1142/S0129626411000151

Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra
conference, May 2016

  • Wu, Panruo; Guan, Qiang; DeBardeleben, Nathan
  • HPDC'16: The 25th International Symposium on High-Performance Parallel and Distributed Computing, Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing
  • DOI: 10.1145/2907294.2907315

SWIFT: Software Implemented Fault Tolerance
conference, January 2005

  • Reis, G. A.; Chang, J.; Vachharajani, N.
  • International Symposium on Code Generation and Optimization
  • DOI: 10.1109/CGO.2005.34

Interpolation-Restart Strategies for Resilient Eigensolvers
journal, January 2016

  • Agullo, E.; Giraud, L.; Salas, P.
  • SIAM Journal on Scientific Computing, Vol. 38, Issue 5
  • DOI: 10.1137/15M1042115

Parallel asynchronous algorithms: A survey
journal, November 2020

Designing and Modelling Selective Replication for Fault-Tolerant HPC Applications
conference, May 2017

  • Subasi, Omer; Yalcin, Gulay; Zyulkyarov, Ferad
  • 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
  • DOI: 10.1109/CCGRID.2017.40

Optimal Resilience Patterns to Cope with Fail-Stop and Silent Errors
conference, May 2016

  • Benoit, Anne; Cavelan, Aurelien; Robert, Yves
  • 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • DOI: 10.1109/IPDPS.2016.39

A Minimally Intrusive Low-Memory Approach to Resilience for Existing Transient Solvers
journal, July 2018

Towards Textbook Efficiency for Parallel Multigrid
journal, February 2015

  • Gmeiner, Björn; Rüde, Ulrich; Stengel, Holger
  • Numerical Mathematics: Theory, Methods and Applications, Vol. 8, Issue 1
  • DOI: 10.4208/nmtma.2015.w10si

Symmetric active/active metadata service for high availability parallel file systems
journal, December 2009

  • He, Xubin; Ou, Li; Engelmann, Christian
  • Journal of Parallel and Distributed Computing, Vol. 69, Issue 12
  • DOI: 10.1016/j.jpdc.2009.08.004

Verificarlo: Checking Floating Point Accuracy through Monte Carlo Arithmetic
conference, July 2016

  • Denis, Christophe; De Oliveira Castro, Pablo; Petit, Eric
  • 2016 IEEE 23nd Symposium on Computer Arithmetic (ARITH)
  • DOI: 10.1109/ARITH.2016.31

New-Sum: A Novel Online ABFT Scheme For General Iterative Methods
conference, January 2016

  • Tao, Dingwen; Song, Shuaiwen Leon; Krishnamoorthy, Sriram
  • Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing - HPDC '16
  • DOI: 10.1145/2907294.2907306

Fault-tolerant finite-element multigrid algorithms with hierarchically compressed asynchronous checkpointing
journal, November 2015

Parallel adaptive FETI‐DP using lightweight asynchronous dynamic load balancing
journal, October 2019

  • Klawonn, Axel; Kühn, Martin J.; Rheinbach, Oliver
  • International Journal for Numerical Methods in Engineering, Vol. 121, Issue 4
  • DOI: 10.1002/nme.6237

Distributed asynchronous computation of fixed points
journal, September 1983

  • Bertsekas, Dimitri P.
  • Mathematical Programming, Vol. 27, Issue 1
  • DOI: 10.1007/bf02591967

Multivariate Quadrature on Adaptive Sparse Grids
journal, August 2003

Chaotic relaxation
journal, April 1969

Algorithm-based fault tolerance applied to high performance computing
journal, April 2009

  • Bosilca, George; Delmas, Rémi; Dongarra, Jack
  • Journal of Parallel and Distributed Computing, Vol. 69, Issue 4
  • DOI: 10.1016/j.jpdc.2008.12.002

ADFT: An Adaptive Framework for Fault Tolerance on Large Scale Systems using Application Malleability
journal, January 2012

The Lanczos and conjugate gradient algorithms in finite precision arithmetic
journal, May 2006

Berkeley lab checkpoint/restart (BLCR) for Linux clusters
journal, September 2006

Design and Evaluation of FA-MPI, a Transactional Resilience Scheme for Non-blocking MPI
conference, June 2014

  • Hassani, Amin; Skjellum, Anthony; Brightwell, Ron
  • 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
  • DOI: 10.1109/dsn.2014.78

Node-Failure-Resistant Preconditioned Conjugate Gradient Method without Replacement Nodes
conference, November 2019

  • Pachajoa, Carlos; Pacher, Christina; Gansterer, Wilfried N.
  • 2019 IEEE/ACM 9th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS)
  • DOI: 10.1109/ftxs49593.2019.00009

Evaluating the Impact of SDC on the GMRES Iterative Solver
conference, May 2014

  • Elliott, James; Hoemmen, Mark; Mueller, Frank
  • 2014 IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2014 IEEE 28th International Parallel and Distributed Processing Symposium
  • DOI: 10.1109/ipdps.2014.123

Dynamic load balancing and efficient load estimators for asynchronous iterative algorithms
journal, April 2005

  • Bahi, J. M.; Contassot-Vivier, S.; Couturier, R.
  • IEEE Transactions on Parallel and Distributed Systems, Vol. 16, Issue 4
  • DOI: 10.1109/tpds.2005.45

On Soft Errors in the Conjugate Gradient Method: Sensitivity and Robust Numerical Detection
journal, January 2020

  • Agullo, Emmanuel; Cools, Siegfried; Yetkin, Emrullah Fatih
  • SIAM Journal on Scientific Computing, Vol. 42, Issue 6
  • DOI: 10.1137/18m122858x

Regression with the optimised combination technique
conference, January 2006

  • Garcke, Jochen
  • Proceedings of the 23rd international conference on Machine learning - ICML '06
  • DOI: 10.1145/1143844.1143885

Fault Tolerance in the Parareal Method
conference, May 2016

  • Nielsen, Allan S.; Hesthaven, Jan S.
  • HPDC'16: The 25th International Symposium on High-Performance Parallel and Distributed Computing, Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale
  • DOI: 10.1145/2909428.2909431

PapyrusKV: a high-performance parallel key-value store for distributed NVM architectures
conference, January 2017

  • Kim, Jungwon; Lee, Seyong; Vetter, Jeffrey S.
  • Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '17
  • DOI: 10.1145/3126908.3126943

A dimension adaptive sparse grid combination technique for machine learning
journal, April 2007

A Pattern Language for High-Performance Computing Resilience
text, January 2017

Algorithm-Based Fault Tolerance for Parallel Stencil Computations
preprint, January 2019

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