This paper presents a model and performance study for Algorithm-Based Focused Recovery
(ABFR) applied to N-body computations, subject to latent errors. We make a detailed …

Abstract Applications structured as Directed Acyclic Graphs (DAGs) of tasks occur in many
domains, including popular scientific workflows. DAG scheduling has thus received an …

Fail-stop and silent errors are omnipresent on large-scale platforms. Efficient resilience
techniques must accommodate both error sources. To cope with the double challenge, a two …

In the past few decades, data volume increases exponentially. Smart devices, social media,
and e-business generate an extremely amount of data everyday. While big data is promising …

Soft errors or bit flips have recently become an important challenge in high performance
computing. In this paper, we focus on soft errors in a particular algorithm: conjugate …

Fail-stop and silent errors are unavoidable on large-scale platforms. Efficient resilience
techniques must accommodate both error sources. A traditional checkpointing and rollback …

Several hyperscalers have recently disclosed the occurrence of Silent Data Corruptions
(SDCs) in their systems fleets, sparking concerns about the severity of known and the …

In this paper we show how to benefit from the numerical properties of a well-established
extrapolation method—the combination technique—to make it tolerant to silent data …

As high performance computing (HPC) systems continue to grow, their fault rate increases.
Applications running on these systems have to deal with rates on the order of hours or days …

This paper proposes a continuous health-check approach for detecting Silent Data
Corruption (SCD) in High Performance Computing (HPC) environments. The goal is to …