5G support for industrial IoT applications—challenges, solutions, and research gaps

P Varga, J Peto, A Franko, D Balla, D Haja, F Janky… - Sensors, 2020 - mdpi.com
Industrial IoT has special communication requirements, including high reliability, low
latency, flexibility, and security. These are instinctively provided by the 5G mobile …

Multi-tier GPU virtualization for deep learning in cloud-edge systems

J Kennedy, V Sharma, B Varghese… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accelerator virtualization offers several advantages in the context of cloud-edge computing.
Relatively weak user devices can enhance performance when running workloads by …

[HTML][HTML] An out-of-core method for GPU image mapping on large 3D scenarios of the real world

JM Jurado, EJ Padrón, JR Jiménez, L Ortega - Future Generation …, 2022 - Elsevier
Image mapping on 3D huge scenarios of the real world is one of the most fundamental and
computational expensive processes for the integration of multi-source sensing data. Recent …

Accelerator virtualization in fog computing: Moving from the cloud to the edge

B Varghese, C Reano, F Silla - IEEE Cloud Computing, 2018 - ieeexplore.ieee.org
Hardware accelerators are available on the cloud for enhanced analytics. Next-generation
clouds aim to bring enhanced analytics using accelerators closer to user devices at the edge …

A multithreaded CUDA and OpenMP based power‐aware programming framework for multi‐node GPU systems

P Czarnul - Concurrency and Computation: Practice and …, 2023 - Wiley Online Library
In the article, we have proposed a framework that allows programming a parallel application
for a multi‐node system, with one or more graphical processing units (GPUs) per node …

Using remote GPU virtualization techniques to enhance edge computing devices

JM Cecilia, J Morales-García, B Imbernón… - Future Generation …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is driving the next economic revolution where the main
actors are both data and immediacy. The IoT ecosystem is increasingly generating large …

Gpu-job migration: The rcuda case

J Prades, F Silla - IEEE Transactions on Parallel and …, 2019 - ieeexplore.ieee.org
Virtualization techniques have been shown to report benefits to data centers and other
computing facilities. In this regard, not only virtual machines allow to reduce the size of the …

[HTML][HTML] NGS: A network GPGPU system for orchestrating remote and virtual accelerators

J Prades, C Reaño, F Silla - Journal of Systems Architecture, 2024 - Elsevier
Abstract In General-Purpose computing on Graphics Processing Unit (GPGPU), the use of
CPUs is combined with that of GPUs. CPUs are used for sequential code, while GPUs are …

AVEC: accelerator virtualization in cloud-edge computing for deep learning libraries

J Kennedy, B Varghese… - 2021 IEEE 5th International …, 2021 - ieeexplore.ieee.org
Edge computing offers the distinct advantage of harnessing compute capabilities on
resources located at the edge of the network to run workloads of relatively weak user …

Improving the management efficiency of GPU workloads in data centers through GPU virtualization

S Iserte, J Prades, C Reaño… - … and Computation: Practice …, 2021 - Wiley Online Library
Graphics processing units (GPUs) are currently used in data centers to reduce the execution
time of compute‐intensive applications. However, the use of GPUs presents several side …