Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …

This research explores the confluence of big data analytics and Geographic information
systems (GIS) in healthcare decision-making. The comparative review delineates the unique …

We present a critical analysis of physics-informed neural operators (PINOs) to solve partial
differential equations (PDEs) that are ubiquitous in the study and modeling of physics …

Abstract The evolution of High-Performance Computing (HPC) platforms enables the design
and execution of progressively larger and more complex workflow applications in these …

As the size of turbulent flow simulations continues to grow, in situ data compression is
becoming increasingly important for visualization, analysis, and restart checkpointing. For …

The development of reusable artificial intelligence (AI) models for wider use and rigorous
validation by the community promises to unlock new opportunities in multi-messenger …

The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …

Scheduling plays a pivotal role in cloud computing systems. Designing an efficient
scheduler is a challenging task. The challenge comes from several aspects, including the …

Modeling is an essential tool for studying environmental systems. Due to the interdisciplinary
nature, several models should be integrated to consider the nexus between different natural …

AI has made significant strides in recent years, particularly in the development of large
models that require substantial computational resources for training. High-Performance …