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

This paper provides a review of contemporary methodologies and APIs for parallel
programming, with representative technologies selected in terms of target system type …

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

In the paper we present performance-energy trade-off investigation of training Deep
Convolutional Neural Networks for image recognition. Several representative and widely …

Graphics Processing Units (GPUs) have revolutionized the computing landscape over the
past decade. However, the growing energy demands of data centres and computing …

In the article we propose an automatic power capping software tool DEPO that allows one to
perform runtime optimization of performance and energy related metrics. For an assumed …

In the article, we have proposed a framework that allows programming a parallel application
for a multi‐node system, with one or more graphical processing units (GPUs) per node …

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 …

Ubiquity of AI coupled with its steep power demands make optimizing GPU power a priority
as large GPU-based clusters are often employed to train and serve AI models. An important …

Significant power consumption is one of the major challenges for current and future high-
performance computing (HPC) systems. All the while, HPC systems generally remain power …