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

Torsten Hoefler; Marcin Copik; Pete Beckman; Andrew Jones; Ian Foster; Manish Parashar; Daniel Reed; Matthias Troyer; Thomas Schulthess; Dan Ernst; Jack Dongarra

doi:10.1109/MCSE.2024.3382154

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

Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian Foster, Manish Parashar, Daniel Reed, Matthias Troyer, Thomas Schulthess, Dan Ernst, Jack Dongarra

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

HPC and 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 while supporting long-running and performance-sensitive workloads from HPC.

Original language	English
Pages (from-to)	1-11
Number of pages	11
Journal	Computing in Science and Engineering
DOIs	https://doi.org/10.1109/MCSE.2024.3382154
State	Accepted/In press - 2024
Externally published	Yes

Keywords

Cloud computing
Computational modeling
Computer architecture
Containers
Ecosystems
Meteorology
Resource management

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10.1109/MCSE.2024.3382154

Cite this

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abstract = "HPC and 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 while supporting long-running and performance-sensitive workloads from HPC.",

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AU - Jones, Andrew

AU - Foster, Ian

AU - Parashar, Manish

AU - Reed, Daniel

AU - Troyer, Matthias

AU - Schulthess, Thomas

AU - Ernst, Dan

AU - Dongarra, Jack

N1 - Publisher Copyright: IEEE

PY - 2024

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KW - Cloud computing

KW - Computational modeling

KW - Computer architecture

KW - Containers

KW - Ecosystems

KW - Meteorology

KW - Resource management

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

Abstract

Keywords

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