Abstract High-Performance Computing, HPC, has become one of the most active computer
science fields. Driven mainly by the need for high processing capabilities required by …

Memory disaggregation is a promising architecture for modern datacenters that separates
compute and memory resources into independent pools connected by ultra-fast networks …

Memory disaggregation has recently been adopted in data centers to improve resource
utilization, motivated by cost and sustainability. Recent studies on large-scale HPC facilities …

This paper examines the performance of two popular GPU programming platforms, Numba
and CuPy, for Monte Carlo radiation transport calculations. We conducted tests involving …

With the Frontier supercomputer ranked first on the Top500 list, it marks the era of exascale
computing power for supercomputers, employing the compute nodes with double-precision …

In the evolving landscape of high-performance computing, especially to fight the end of
Moore's Law and Dennard's Scaling, the ability to shift between compute-bound and …

Finite automata serve as compute kernels for various applications that require high
throughput. However, despite the increasing compute power of GPUs, their potential in …

The era of exascale computing presents both exciting opportunities and unique challenges
for quantum mechanical simulations. While the transition from petaflops to exascale …

Operating System (OS) is a critical piece of software that manages a computer's hardware
and resources, acting as the intermediary between the computer and the user. The existing …

Scientific applications must be tuned for performance to run efficiently on supercomputers
having nodes with a CPU (or, a general-purpose host processor) and GPUs (or, accelerator …