Architectural and technological trends of systems used for scientific computing call for a
significant reduction of scientific data sets that are composed mainly of floating-point data …

Resilience is a major roadblock for HPC executions on future exascale systems. These
systems will typically gather millions of CPU cores running up to a billion threads …

Today's HPC applications are producing extremely large amounts of data, thus it is
necessary to use an efficient compression before storing them to parallel file systems. In this …

We present here a report produced by a workshop on 'Addressing failures in exascale
computing'held in Park City, Utah, 4–11 August 2012. The charter of this workshop was to …

This chapter provides an introduction to resilience methods. The emphasis is on
checkpointing, the de-facto standard technique for resilience in High Performance …

LLMs have seen rapid adoption in all domains. They need to be trained on high-end high-
performance computing (HPC) infrastructures and ingest massive amounts of input data …

This paper addresses non-linear gyrokinetic simulations of ion temperature gradient (ITG)
turbulence in tokamak plasmas. The electrostatic GYSELA code is one of the few …

This paper presents a comprehensive survey of the state-of-the-art work on fault tolerance
methods proposed for cloud computing. The survey classifies fault-tolerance methods into …

Global checkpointing to external storage (eg, a parallel file system) is a common I/O pattern
of many HPC applications. However, given the limited I/O throughput of external storage …

Modern scientific discovery is increasingly driven by large-scale supercomputing
simulations, followed by data analysis tasks. These data analyses are either performed …