The growth in the number of computational resources used by high-performance computing
(HPC) systems leads to an increase in failure rates. Fault-tolerant techniques will become …

Cloud computing has made the resources needed to execute large-scale in-memory
distributed computations widely available. Specialized programming models, eg …

As the scale of high-performance computing (HPC) systems continues to grow, mean-time-to-
failure (MTTF) of these HPC systems is negatively impacted and tends to decrease. In order …

Current HPC environments require parallel programs that are both malleable and fault-
tolerant. Malleability denotes the ability to embrace system-initiated resource changes, and …

Fault tolerance has become an important issue in parallel computing. It is often addressed at
system level, but application-level approaches receive increasing attention. We consider a …

This paper presents a new approach to fault-tolerant language systems without a single
point of failure for irregular parallel applications. Work-stealing frameworks provide good …

A robust solution that incorporates fault tolerance and elastic scaling capabilities for
distributed deep learning. Taking advantage of MPI resilient capabilities, aka. User-Level …

Abstract High Performance Computing (HPC) is crucial in a number of sectors, including
weather forecasts, particle simulations and fluid dynamics. Existing programming …

Zusammenfassung Die Anzahl an Rechenknoten in Hochleistungsrechnern wächst stetig. In
solchen Systemen nimmt die Bedeutung von Fehlertoleranz zu, da die Wahrscheinlichkeit …

This paper targets the area of wireless sensor networks. Probabilistic key pre-distribution
schemes were developed to deal with limited memory of a single node and high number of …