Efficient GPU Cloud architectures for outsourcing high-performance processing to the Cloud

The world is becoming increasingly dependant in computing intensive applications. The appearance of new paradigms, such as Internet of Things (IoT), and advances in technologies such as Computer Vision (CV) and Artificial Intelligence (AI) are creating a demand for high-performance applications. In...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2024-07, Vol.133 (1-2), p.949-958
Main Authors: Sánchez-Ribes, Víctor, Maciá-Lillo, Antonio, Mora, Higinio, Jimeno-Morenilla, Antonio
Format: Article
Language:English
Subjects:
Advanced manufacturing technologies
Artificial intelligence
CAD/CAM
CAE) and Design
Cloud computing
Computer architecture
Computer vision
Computer-Aided Engineering (CAD
Data exchange
Engineering
Graphics processing units
Industrial and Production Engineering
Internet of Things
Manufacturing
Mechanical Engineering
Media Management
Original Article
Outsourcing
Small & medium sized enterprises-SME
Software
Technology
Workloads
Citations: Items that this one cites
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Summary:The world is becoming increasingly dependant in computing intensive applications. The appearance of new paradigms, such as Internet of Things (IoT), and advances in technologies such as Computer Vision (CV) and Artificial Intelligence (AI) are creating a demand for high-performance applications. In this regard, Graphics Processing Units (GPUs) have the ability to provide better performance by allowing a high degree of data parallelism. These devices are also beneficial in specialized fields of manufacturing industry such as CAD/CAM. For all these applications, there is a recent tendency to offload these computations to the Cloud, using a computing offloading Cloud architecture. However, the use of GPUs in the Cloud presents some inefficiencies, where GPU virtualization is still not fully resolved, as our research on what main Cloud providers currently offer in terms of GPU Cloud instances shows. To address these problems, this paper first makes a review of current GPU technologies and programming techniques that increase concurrency, to then propose a Cloud computing outsourcing architecture to make more efficient use of these devices in the Cloud.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-023-11252-0