Energy efficiency in cloud computing data centers: a survey on software technologies
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 …
2006 and is presently the most significant technology in IT sector. From the notion of cloud …
Performance enhancement of artificial intelligence: A survey
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 …
significant transformation across multiple industries, as it has facilitated the automation of …
Energy-aware scheduling for high-performance computing systems: A survey
High-performance computing (HPC), according to its name, is traditionally oriented toward
performance, especially the execution time and scalability of the computations. However …
performance, especially the execution time and scalability of the computations. However …
Dynamic GPU power cap** with online performance tracing for energy efficient GPU computing using DEPO tool
GPU accelerators have become essential to the recent advance in computational power of
high-performance computing (HPC) systems. Current HPC systems' reaching an …
high-performance computing (HPC) systems. Current HPC systems' reaching an …
[HTML][HTML] A review on the decarbonization of high-performance computing centers
High-performance computing relies on performance-oriented infrastructures with access to
powerful computing resources to complete tasks that contribute to solve complex problems …
powerful computing resources to complete tasks that contribute to solve complex problems …
The landscape of exascale research: A data-driven literature analysis
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 …
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
Performance and power constraints come together with Complementary Metal Oxide
Semiconductor technology scaling in future Exascale systems. Technology scaling makes …
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
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 …
series of changes, among which it is worth highlighting the ability to control the response to …
GPU power cap** for energy-performance trade-offs in training of deep convolutional neural networks for image recognition
In the paper we present performance-energy trade-off investigation of training Deep
Convolutional Neural Networks for image recognition. Several representative and widely …
Convolutional Neural Networks for image recognition. Several representative and widely …
Survey of Methodologies, Approaches, and Challenges in Parallel Programming Using High‐Performance Computing Systems
This paper provides a review of contemporary methodologies and APIs for parallel
programming, with representative technologies selected in terms of target system type …
programming, with representative technologies selected in terms of target system type …