High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …

High-performance computing relies on performance-oriented infrastructures with access to
powerful computing resources to complete tasks that contribute to solve complex problems …

GPU accelerators have become essential to the recent advance in computational power of
high-performance computing (HPC) systems. Current HPC systems' reaching an …

Energy efficiency of software is crucial in minimizing environmental impact and reducing
operational costs of ICT systems. Energy efficiency is therefore a key area of contemporary …

Over the last decade both capital costs for the acquisition of modern HPC systems as well as
costs to power and cool these systems have increased significantly. In addition to direct …

The recent growth of Artificial Intelligence (AI), particularly large language models, requires
energy-demanding high-performance computing (HPC) data centers, which poses a …

GPUs play a central and indispensable role as accelerators in modern high-performance
computing (HPC) platforms, enabling a wide range of tasks to be performed efficiently …

In this paper we demonstrate that it is possible to obtain considerable improvement of
performance and energy aware metrics for training of deep neural networks using a modern …

In this paper we investigate performance-energy optimization of tokenizer algorithm training
using power capping. We focus on parallel, multi-threaded implementations of Byte Pair …

Historically, programming language performance focused on fast execution times. With the
advent of cloud and edge computing, and the significant energy consumption of large data …