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

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 …

In the paper we present an approach and results from application of the modern power
capping mechanism available for NVIDIA GPUs to the benchmarks such as NAS Parallel …

Nowadays Internet of Things is gaining more and more focus all over the world. As a
concept it gives many opportunities for applications for society and it is expected that the …

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 …

Efficient use of energy is essential for today's super-computing systems, as energy cost is
generally a major component of their operational cost. Research into “green computing” is …

In the paper we investigate the problem of food classification from images, for the Food-101
dataset extended with 31 additional food classes from Polish cuisine. We adopted transfer …

Two novel algorithms for the all-gather operation resilient to imbalanced process arrival
patterns (PATs) are presented. The first one, Background Disseminated Ring (BDR), is …

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 …