Skip to Main content Skip to Navigation
Conference papers

Detecting I/O Access Patterns of HPC Workloads at Runtime

Jean Luca Bez 1 Francieli Zanon Boito 2 Ramon Nou 3 Alberto Miranda 3 Toni Cortes 3 Philippe Navaux 1
1 UFRGS - Instituto de Informática da UFRGS
2 DATAMOVE - Data Aware Large Scale Computing
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
3 BSC - CNS - Barcelona Supercomputing Center - Centro Nacional de Supercomputacion
Keywords : High-performance computing parallel I/O access pattern detection I/O forwarding classification
Document type :
Conference papers
Complete list of metadata

Cited literature [29 references]  Display  Hide  Download
https://hal.inria.fr/hal-02276191
Contributor : Francieli Zanon Boito Connect in order to contact the contributor
Submitted on : Monday, September 2, 2019 - 1:22:38 PM
Last modification on : Friday, January 21, 2022 - 3:10:11 AM
Long-term archiving on: : Thursday, January 9, 2020 - 10:03:53 AM

File

Vignette du document
Bez2019_detectingIO.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02276191, version 1

Collections

LIG | LIG-SRCPR-DATAMOVE | CNRS | INRIA | LIG_SRCPR | GRID5000 | SILECS | UGA | LIG_SIDCH

Citation

Jean Luca Bez, Francieli Zanon Boito, Ramon Nou, Alberto Miranda, Toni Cortes, et al.. Detecting I/O Access Patterns of HPC Workloads at Runtime. SBAC-PAD 2019 - International Symposium on Computer Architecture and High Performance Computing, Oct 2019, Campo Grande, Brazil. ⟨hal-02276191⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Les métriques sont temporairement indisponibles

 

Contact                    Legal Notice                    Personal Data