Improving the energy efficiency of relational and NoSQL databases via query optimizations
D Mahajan, C Blakeney, Z Zong - Sustainable Computing: Informatics and …, 2019 - Elsevier
As big data becomes the norm of various industrial applications, the complexity of database
workloads and database system design has increased significantly. To address these …
workloads and database system design has increased significantly. To address these …
Examon-x: a predictive maintenance framework for automatic monitoring in industrial iot systems
In recent years, the Industrial Internet of Things (IIoT) has led to significant steps forward in
many industries, thanks to the exploitation of several technologies, ranging from Big Data …
many industries, thanks to the exploitation of several technologies, ranging from Big Data …
A taxonomy of software-based and hardware-based approaches for energy efficiency management in the Hadoop
Apache Hadoop framework supports the storing and processing of big data datasets using
simple programming models. Energy management has been recognized as one of the major …
simple programming models. Energy management has been recognized as one of the major …
Bringing green software to computer science curriculum: perspectives from researchers and educators
Only recently has the software engineering community started conducting research on
developing energy efficient software, or green software. This is shadowed when compared …
developing energy efficient software, or green software. This is shadowed when compared …
Robust dynamic resource allocation via probabilistic task pruning in heterogeneous computing systems
J Gentry, C Denninnart… - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
In heterogeneous distributed computing (HC) systems, diversity can exist in both
computational resources and arriving tasks. In an inconsistently heterogeneous computing …
computational resources and arriving tasks. In an inconsistently heterogeneous computing …
Understanding the impact of object oriented programming and design patterns on energy efficiency
S Maleki, C Fu, A Banotra… - 2017 Eighth International …, 2017 - ieeexplore.ieee.org
With billions of lines of code being deployed and running on cloud servers, PCs, as well as
battery-driven mobile phones, embedded systems, and IoT devices, software energy …
battery-driven mobile phones, embedded systems, and IoT devices, software energy …
Hadoop MapReduce performance on SSDs for analyzing social networks
Abstract The advent of Solid State Drives (SSDs) stimulated a lot of research to investigate
and exploit to the extent possible the potentials of the new drive. The focus of this work is on …
and exploit to the extent possible the potentials of the new drive. The focus of this work is on …
Programming approaches for scalability, performance, and portability of combustion physics codes
KA Schau, D Purushotham, JC Oefelein - Proceedings of the Combustion …, 2023 - Elsevier
This paper presents the process, strategy, and results associated with porting a typical
combustion physics flow solver to current state-of-the-art and future massively-parallel …
combustion physics flow solver to current state-of-the-art and future massively-parallel …
Efficient task pruning mechanism to improve robustness of heterogeneous computing systems
C Denninnart, J Gentry, A Mokhtari… - Journal of Parallel and …, 2020 - Elsevier
In heterogeneous distributed computing (HC) systems, diversity can exist in both
computational resources and arriving tasks. In an inconsistently heterogeneous computing …
computational resources and arriving tasks. In an inconsistently heterogeneous computing …
Rotation invariant networks for image classification for HPC and embedded systems
R Rodriguez Salas, P Dokládal, E Dokladalova - Electronics, 2021 - mdpi.com
Convolutional Neural Network (CNNs) models' size reduction has recently gained interest
due to several advantages: energy cost reduction, embedded devices, and multi-core …
due to several advantages: energy cost reduction, embedded devices, and multi-core …