Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …

Abstract The Young/Daly formula provides an approximation of the optimal checkpointing
period for a parallel application executing on a supercomputing platform. It was originally …

We present ExaDigiT, an open-source framework for developing comprehensive digital
twins of liquid-cooled supercomputers. It integrates three main modules:(1) a resource …

Understanding how interacting particles approach thermal equilibrium is a major challenge
of quantum simulators. Unlocking the full potential of such systems toward this goal requires …

Fourier pseudo-spectral methods for nonlinear partial differential equations are of wide
interest in many areas of advanced computational science, including direct numerical …

High-performance computing (HPC) has revolutionized our ability to perform detailed
simulations of complex real-world processes. A prominent contemporary example is from …

The search for room-temperature superconductors is a major challenge in modern physics.
The discovery of copper-oxide superconductors in 1986 brought hope but also revealed …

Ultra-sensitive sensors based on the resonant properties of whispering gallery modes
(WGMs) can detect fractional changes in nanoscale environments down to the length and …

Multi-GPU nodes are increasingly common in the rapidly evolving landscape of exascale
supercomputers. On these systems, GPUs on the same node are connected through …

Modern graphics processing units (GPUs) provide an unprecedented level of computing
power. In this study, we present a high-performance, multi-GPU implementation of the …