XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing
Journal Article
·
· Computing in Science and Engineering
- Eidgenoessische Technische Hochschule (ETH), Zurich (Switzerland)
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Microsoft Corporation, Redmond, WA (United States)
- Univ. of Utah, Salt Lake City, UT (United States)
- Swiss National Supercomputing Centre, Lugano (Switzerland)
- Nvidia, Santa Clara, CA (United States)
- Univ. of Tennessee, Knoxville, TN (United States)
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. Here, 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.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science
- Grant/Contract Number:
- AC02-06CH11357
- OSTI ID:
- 2545755
- Journal Information:
- Computing in Science and Engineering, Journal Name: Computing in Science and Engineering Journal Issue: 3 Vol. 26; ISSN 1521-9615
- Publisher:
- IEEE Computer SocietyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Enabling HPC Scientific Workflows for Serverless
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Conference
·
2024
·
OSTI ID:2538241
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud
Journal Article
·
2023
· Future Generations Computer Systems
·
OSTI ID:2571432
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Conference
·
2023
·
OSTI ID:2229128