GPU virtualization and scheduling methods: A comprehensive survey
The integration of graphics processing units (GPUs) on high-end compute nodes has
established a new accelerator-based heterogeneous computing model, which now …
established a new accelerator-based heterogeneous computing model, which now …
[HTML][HTML] Estimation of energy consumption in machine learning
Energy consumption has been widely studied in the computer architecture field for decades.
While the adoption of energy as a metric in machine learning is emerging, the majority of …
While the adoption of energy as a metric in machine learning is emerging, the majority of …
Characterization and prediction of deep learning workloads in large-scale gpu datacenters
Modern GPU datacenters are critical for delivering Deep Learning (DL) models and services
in both the research community and industry. When operating a datacenter, optimization of …
in both the research community and industry. When operating a datacenter, optimization of …
A survey on run-time power monitors at the edge
Effectively managing energy and power consumption is crucial to the success of the design
of any computing system, hel** mitigate the efficiency obstacles given by the downsizing …
of any computing system, hel** mitigate the efficiency obstacles given by the downsizing …
The impact of GPU DVFS on the energy and performance of deep learning: An empirical study
Over the past years, great progress has been made in improving the computing power of
general-purpose graphics processing units (GPGPUs), which facilitates the prosperity of …
general-purpose graphics processing units (GPGPUs), which facilitates the prosperity of …
{EnvPipe}: Performance-preserving {DNN} training framework for saving energy
Energy saving is a crucial mission for data center providers. Among many services, DNN
training and inference are significant contributors to energy consumption. This work focuses …
training and inference are significant contributors to energy consumption. This work focuses …
Deep learning and machine learning with gpgpu and cuda: Unlocking the power of parallel computing
This book presents a comprehensive exploration of GPGPU (General Purpose Graphics
Processing Unit) and its applications in deep learning and machine learning. It focuses on …
Processing Unit) and its applications in deep learning and machine learning. It focuses on …
GPGPU performance estimation with core and memory frequency scaling
Contemporary graphics processing units (GPUs) support dynamic voltage and frequency
scaling to balance computational performance and energy consumption. However, accurate …
scaling to balance computational performance and energy consumption. However, accurate …
Security in hardware assisted virtualization for cloud computing—State of the art issues and challenges
B Asvija, R Eswari, MB Bijoy - Computer Networks, 2019 - Elsevier
The advantages of virtualization technology have resulted in its wide spread adoption in
cloud computing infrastructures. However it has also introduced a new set of security threats …
cloud computing infrastructures. However it has also introduced a new set of security threats …
Verified instruction-level energy consumption measurement for nvidia gpus
GPUs are prevalent in modern computing systems at all scales. They consume a significant
fraction of the energy in these systems. However, vendors do not publish the actual cost of …
fraction of the energy in these systems. However, vendors do not publish the actual cost of …