Skip to Main content Skip to Navigation
Conference papers

Compiler-assisted adaptive program scheduling in big.LITTLE systems

Marcelo Novaes 1 Vinicius Petrucci 2 Abdoulaye Gamatié 3 Fernando Magno Quintão Pereira 1
1 UFMG - Federal University of Minas Gerais
2 UFBA - Universidade Federal da Bahia
3 ADAC - ADAptive Computing
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Energy-aware architectures provide applications with a mix of low and high frequency cores. Selecting the best core configurations for running programs is very challenging. Here, we leverage compilation, runtime monitoring and machine learning to map program phases to their best matching configurations. As a proof-of-concept, we devise the Astro system to show that our approach can outperform a state-of-the-art Linux scheduler for heterogeneous architectures.
Keywords : bigLITTLE architecture Adaptation Compiler
Document type :
Conference papers
Complete list of metadata

Cited literature [34 references]  Display  Hide  Download
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02100287
Contributor : Abdoulaye Gamatié <>
Submitted on : Friday, January 17, 2020 - 2:43:38 PM
Last modification on : Thursday, April 29, 2021 - 1:26:04 PM

File

Vignette du document
1903.07038.pdf
Files produced by the author(s)

Identifiers

Collections

LIRMM | UNIV-MONTPELLIER | CNRS | LIRMM_MIC | MIC | MIPS | ADAC

Citation

Marcelo Novaes, Vinicius Petrucci, Abdoulaye Gamatié, Fernando Magno Quintão Pereira. Compiler-assisted adaptive program scheduling in big.LITTLE systems. PPoPP: Principles and Practice of Parallel Programming, Feb 2019, Washington, United States. pp.429-430, ⟨10.1145/3293883.3301493⟩. ⟨lirmm-02100287⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

210

Files downloads

147