Empirical model-based performance prediction for application mapping on multicore architectures-Reference-Cited by-同舟云学术

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Empirical model-based performance prediction for application mapping on multicore architectures

Published:2019-09 Issue: Volume:98 Page:1-16
ISSN:1383-7621
Container-title:Journal of Systems Architecture
language:en
Short-container-title:Journal of Systems Architecture

Author:

Gamatié Abdoulaye,An Xin,Zhang Ying,Kang An,Sassatelli Gilles

Funder

European Commission

National Natural Science Foundation of China

Agence Nationale de la Recherche

Publisher

Elsevier BV

Subject

Hardware and Architecture,Software

Reference45 articles.

1. Mapping on multi/many-core systems: Survey of current and emerging trends;Singh,2013

2. Self-awareness in systems on chip - a survey;Jantsch;IEEE Des. Test,2017

3. Deep learning;LeCun;Nature,2015

4. A general guide to applying machine learning to computer architecture;Nemirovsky;Supercomput. Front. Innov.,2018

5. Machine learning in compiler optimisation;Wang;CoRR,2018

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2. A Deep Learning Framework for Microarchitecture Independent Workload Characterization Technique for Multi-core Asymmetric Embedded Systems;SN Computer Science;2023-06-30

3. A Survey on Dynamic Application Mapping Approaches for Real-Time Network-on-Chip-Based Platforms;IEEE Access;2023

4. Performance assessment of adaptive core mapping for NoC-based architectures;International Journal of Embedded Systems;2022

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