Energy efficiency in cloud computing data centers: a survey on software technologies

A Katal, S Dahiya, T Choudhury - Cluster Computing, 2023 - Springer
Cloud computing is a commercial and economic paradigm that has gained traction since
2006 and is presently the most significant technology in IT sector. From the notion of cloud …

Energy-aware scheduling for high-performance computing systems: A survey

B Kocot, P Czarnul, J Proficz - Energies, 2023 - mdpi.com
High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …

Performance enhancement of artificial intelligence: A survey

M Krichen, MS Abdalzaher - Journal of Network and Computer Applications, 2024 - Elsevier
The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

Dynamic GPU power capping with online performance tracing for energy efficient GPU computing using DEPO tool

A Krzywaniak, P Czarnul, J Proficz - Future Generation Computer Systems, 2023 - Elsevier
GPU accelerators have become essential to the recent advance in computational power of
high-performance computing (HPC) systems. Current HPC systems' reaching an …

[HTML][HTML] A review on the decarbonization of high-performance computing centers

CA Silva, R Vilaça, A Pereira, RJ Bessa - Renewable and Sustainable …, 2024 - Elsevier
High-performance computing relies on performance-oriented infrastructures with access to
powerful computing resources to complete tasks that contribute to solve complex problems …

The landscape of exascale research: A data-driven literature analysis

S Heldens, P Hijma, BV Werkhoven… - ACM Computing …, 2020 - dl.acm.org
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 …

Predictive reliability and fault management in exascale systems: State of the art and perspectives

R Canal, C Hernandez, R Tornero, A Cilardo… - ACM Computing …, 2020 - dl.acm.org
Performance and power constraints come together with Complementary Metal Oxide
Semiconductor technology scaling in future Exascale systems. Technology scaling makes …

A tensorflow approach to data analysis for time series forecasting in the energy-efficiency realm

JRS Iruela, LGB Ruiz, MI Capel, MC Pegalajar - Energies, 2021 - mdpi.com
Thanks to advances in smart metering devices (SM), the electricity sector is undergoing a
series of changes, among which it is worth highlighting the ability to control the response to …

GPU power capping for energy-performance trade-offs in training of deep convolutional neural networks for image recognition

A Krzywaniak, P Czarnul, J Proficz - International conference on …, 2022 - Springer
In the paper we present performance-energy trade-off investigation of training Deep
Convolutional Neural Networks for image recognition. Several representative and widely …

Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High‐Performance Computing Systems

P Czarnul, J Proficz, K Drypczewski - Scientific Programming, 2020 - Wiley Online Library
This paper provides a review of contemporary methodologies and APIs for parallel
programming, with representative technologies selected in terms of target system type …