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Energy efficiency in cloud computing data center: a survey on hardware technologies
The internet is expanding its viewpoint into each conceivable part of the cutting-edge
economy. Unshackled from our web programs today, the internet is characterizing our way …
economy. Unshackled from our web programs today, the internet is characterizing our way …
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 …
A survey of thermal management in cloud data centre: Techniques and open issues
In recent years, there has been a great increase in usage of cloud data centers which leads
the energy consumption growth by about 10% a year continuously. Further, due to the …
the energy consumption growth by about 10% a year continuously. Further, due to the …
SDN-DVFS: an enhanced QoS-aware load-balancing method in software defined networks
Recently, software defined networks (SDN) has been considered as a promising technology
for improving the network performance. However, the load imbalance problem considerably …
for improving the network performance. However, the load imbalance problem considerably …
GPU Shader Analysis and Power Optimization Model
With the rapid advancements in 3D game technology, workload characterization has
become crucial for each new generation of games. The increased complexity of scenes in …
become crucial for each new generation of games. The increased complexity of scenes in …
Autotuning based on frequency scaling toward energy efficiency of blockchain algorithms on graphics processing units
M Stachowski, A Fiebig, T Rauber - The Journal of Supercomputing, 2021 - Springer
Energy-efficient computing is especially important in the field of high-performance
computing (HPC) on supercomputers. Therefore, automated optimization of energy …
computing (HPC) on supercomputers. Therefore, automated optimization of energy …
Pm3: Power modeling and power management for processing-in-memory
Processing-in-Memory (PIM) has been proposed as a solution to accelerate data-intensive
applications, such as real-time Big Data processing and neural networks. The acceleration …
applications, such as real-time Big Data processing and neural networks. The acceleration …
EPPMiner: An extended benchmark suite for energy, power and performance characterization of heterogeneous architecture
To address the ever-increasing demand for computing capacities, more and more
heterogeneous systems have been designed to use both general-purpose and special …
heterogeneous systems have been designed to use both general-purpose and special …
Power-Aware Characteristics of Matrix Operations on Multicores
ABSTRACT GPU accelerators are massively parallel in nature and tailored for processing
numerically intensive high-performance computing applications. But most of the applications …
numerically intensive high-performance computing applications. But most of the applications …
Performance evaluation of parallel haemodynamic computations on heterogeneous clouds
O Bystrov, A Kačeniauskas, R Pacevič… - Computing and …, 2020 - cai.sk
The article presents performance evaluation of parallel haemodynamic flow computations
on heterogeneous resources of the OpenStack cloud infrastructure. The main focus is on the …
on heterogeneous resources of the OpenStack cloud infrastructure. The main focus is on the …