Today's scientific simulations are producing vast volumes of data that cannot be stored and
transferred efficiently because of limited storage capacity, parallel I/O bandwidth, and …

Efficient error-controlled lossy compressors are becoming critical to the success of today's
large-scale scientific applications because of the ever-increasing volume of data produced …

This work is based on the seminar titled 'Resiliency in Numerical Algorithm Design for
Extreme Scale Simulations' held March 1–6, 2020, at Schloss Dagstuhl, that was attended …

Transient hardware faults have become prevalent due to the shrinking size of transistors,
leading to silent data corruptions (SDCs). Therefore, HPC applications need to be evaluated …

Due to the increasing scale of high-performance computing (HPC) systems, transient
hardware faults have become a major reliability concern. Consequently, Silent Data …

Progress in high-performance computing (HPC) systems has led to complex applications
that stress the I/O subsystem by creating vast amounts of data. Lossy compression reduces …

Nowadays, high-performance computing (HPC) is step** forward to exascale era.
However, silent data corruption (SDC) behaved as bit-flip** can cause disastrous …

Scientific simulations running on HPC facilities generate massive amount of data, putting
significant pressure onto supercomputers' storage capacity and network bandwidth. To …

Due to the increasing scale of scientific research, scientists need to collect massive amounts
of data to solve complex scientific problems. The exponential growth of data poses …

Today's scientific simulations are producing vast volumes of data that cannot be stored and
transferred efficiently because of limited memory capacity, storage capacity, and network …