Parallel application performance models provide valuable insight about the performance in
real systems. Capable tools providing fast, accurate, and comprehensive prediction and …

As the US Department of Energy (DOE) invests in exascale computing, performance
modeling of physics codes on CPUs remain a challenge in computational co-design due to …

Demand response refers to reducing energy consumption of participating systems in
response to transient surge in power demand or other emergency events. Demand …

The paper presents a simulator designed specifically for evaluating job scheduling
algorithms on large-scale HPC systems. The simulator was developed based on the …

Demand response is an increasingly popular program ensuring power grid stability during a
sudden surge in power demand. We expect high-performance computing (HPC) systems to …

High-performance Computing (HPC) systems have gone through many changes during the
past two decades in their architectural design to satisfy the increasingly large-scale scientific …

The growing computational demand of scientific applications has greatly motivated the
development of large-scale high-performance computing (HPC) systems in the past decade …

Over the past three decades, high-performance computing has undergone significant
transformations. Tremendous advances were made in terms of the compute capability per …

Energy consumption is a critical issue for high-performance computing (HPC) systems.
Demand response is a program offered by power service providers to reduce energy …

Monte Carlo techniques to radiation transport play a significant role in modeling complex
astrophysical phenomena. In this paper, we design an application model (IMCSim) of an …