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XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing.

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Název: XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing.
Autoři: Hoefler, Torsten, Copik, Marcin, Beckman, Pete, Jones, Andrew, Foster, Ian, Parashar, Manish, Reed, Daniel, Troyer, Matthias, Schulthess, Thomas, Ernst, Daniel, Dongarra, Jack
Zdroj: Computing in Science & Engineering; Jul-Sep2024, Vol. 26 Issue 3, p40-51, 12p
Témata: COMPUTER architecture, COMPUTER simulation, CLOUD computing, MACHINE learning, RESOURCE management
Abstrakt: High-performance computing (HPC) and the cloud have evolved independently, specializing their innovations into performance or productivity. Acceleration as a Service (XaaS) is a recipe to empower both fields with a shared execution platform that provides transparent access to computing resources, regardless of the underlying cloud or HPC service provider. Bridging HPC and cloud advancements, XaaS presents a unified architecture built on performance-portable containers. Our converged model concentrates on low-overhead, high-performance communication and computing, targeting resource-intensive workloads from climate simulations to machine learning. XaaS lifts the restricted allocation model of Function as a Service (FaaS), allowing users to benefit from the flexibility and efficient resource utilization of serverless computing while supporting long-running and performance-sensitive workloads from HPC. [ABSTRACT FROM AUTHOR]
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Abstrakt:High-performance computing (HPC) and the cloud have evolved independently, specializing their innovations into performance or productivity. Acceleration as a Service (XaaS) is a recipe to empower both fields with a shared execution platform that provides transparent access to computing resources, regardless of the underlying cloud or HPC service provider. Bridging HPC and cloud advancements, XaaS presents a unified architecture built on performance-portable containers. Our converged model concentrates on low-overhead, high-performance communication and computing, targeting resource-intensive workloads from climate simulations to machine learning. XaaS lifts the restricted allocation model of Function as a Service (FaaS), allowing users to benefit from the flexibility and efficient resource utilization of serverless computing while supporting long-running and performance-sensitive workloads from HPC. [ABSTRACT FROM AUTHOR]
ISSN:15219615
DOI:10.1109/MCSE.2024.3382154