Resilience is a growing concern for large-scale simulations. As failures become more
frequent, alternatives to global checkpointing that limit the extent of needed recovery …

Data parallel languages based on user-supplied data distribution directives significantly
simplify the development of the initial version of a parallel application. However, selection of …

The T10 DIF (Data Integrity Field) and DIX (Data Integrity Extension) specifications provide
mechanisms to guarantee end-to-end data integrity and protection in the face of silent data …

Computer vision based applications are commonly utilized in embedded systems. The
demand for higher accuracy leads to increased complexity of convolutional neural networks …

High-performance computing is an important field of scientific computing with many
problems offering the possibility of achieving speedups through high levels of …

In-situ scientific workflows, ie, executing the entire application workflows on the HPC system,
have emerged as an attractive approach to address data-related challenges by moving …

This paper introduces a new scheduling scheme that provides fair access to all stations in
802.11 b WLANs. The scheme divides the transmission opportunities between wireless …

El manejo de fallos es una preocupación creciente en el contexto del HPC; en el futuro, se
esperan mayores variedades y tasas de errores, intervalos de detección más largos y fallos …

Radiation-induced soft errors degrade the reliability of aerospace-based computing. Silent
data corruption (SDC) is the most dangerous and insidious type of soft error result. To detect …

This paper studies the use of Redundant Multi-Threading (RMT) to detect Silent Data
Corruptions in HPC applications. To understand if it can be a viable solution in an HPC …