2021
DOI: 10.1007/978-3-030-78713-4_22
|View full text |Cite
|
Sign up to set email alerts
|

Characterizing Containerized HPC Applications Performance at Petascale on CPU and GPU Architectures

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 20 publications
0
2
0
Order By: Relevance
“…Singularity also incorporates MPI, which is an important component of HPC computing. Ruhela et al [111] experimented with the performance of Singularity in 3 MPI benchmarks and compared the performance with Charliecloud [112] container technology. The benchmarks are MPI_Init, MPI_Alltoall, and MPI_Bcast.…”
Section: E Singularitymentioning
confidence: 99%
“…Singularity also incorporates MPI, which is an important component of HPC computing. Ruhela et al [111] experimented with the performance of Singularity in 3 MPI benchmarks and compared the performance with Charliecloud [112] container technology. The benchmarks are MPI_Init, MPI_Alltoall, and MPI_Bcast.…”
Section: E Singularitymentioning
confidence: 99%
“…We have expanded the data sources considerably since the 5GRIT project [5] and made it easier to deploy and scale through containerisation [10]. Software deployed on edge nodes is platform agnostic to allow for deployment on lowpower small form-factor GNU/Linux systems, but also on other platforms (such as ARM) to provide opportunities to integrate with existing hardware operated by partners [11].…”
Section: Measurement Frameworkmentioning
confidence: 99%