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 …

An ultrascale system (USS) joins parallel and distributed computing systems that will be two
to three orders of magnitude larger than today's infrastructure regarding scale, performance …

Over the past few years, ARM has been the dominant player in embedded systems and
System-on-Chips (SoCs). With the emergence of hardware platforms based on the RISC-V …

This work tackles the performance and energy consumption analysis of a legacy scientific
application, the VASP (Vienna Ab-initio Simulation Package), an application commonly used …

This document addresses some inherent problems in Machine Learning (ML), such as the
high computational and energy costs associated with their implementation on IoT devices. It …

Modern standards in High Performance Computing (HPC) have started to consider energy
consumption and power draw as a limiting factor. New and more complex architectures have …

The ability to monitor power and energy accurately and efficiently is becoming increasingly
important in all areas of computing. In this paper, we introduce WattProf, a portable and …

Rapid growth of demand for remote computational power, along with high energy costs and
infrastructure limits, has led to treating power usage as a primary constraint in data centers …

Managing low-level architectural features for controlling performance and power
consumption is a growing demand in the parallel computing community. Such features …

As the complexity and scale of machine learning applications continue to grow, the need for
efficient training methodologies becomes increasingly critical. Traditional training processes …