Toward Resilient Algorithms and Applications

2014/02/16 by Michael A. Heroux, Heroux, Michael A.
Computer Science · Engineering · #C.4 #D.1.3 #D.4.5 #Distributed #Distributed systems and fault tolerance #FOS: Computer and information sciences #G.1.0 #Interconnection Networks and Systems #Mathematical Software (cs.MS) #Parallel #Radiation Effects in Electronics #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.1402.3809

openalex publication_date 2014/02/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Over the past decade, the high performance computing community has become increasingly concerned that preserving the reliable, digital machine model will become too costly or infeasible. In this paper we discuss four approaches for developing new algorithms that are resilient to hard and soft failures.

Related

• Resiliency in Numerical Algorithm Design for Extreme Scale Simulations
• Doubt and Redundancy Kill Soft Errors -- Towards Detection and\n Correction of Silent Data Corruption in Task-based Numerical Software
• Resilience in Numerical Methods: A Position on Fault Models and\n Methodologies
• Resilience of Deep Learning applications: a systematic literature review of analysis and hardening techniques
• Pattern-based Modeling of High-Performance Computing Resilience