0–1 ILP-based run-time hierarchical energy optimization for heterogeneous cluster-based multi/many-core systems

Journal of Systems Architecture ◽

10.1016/j.sysarc.2021.102035 ◽

2021 ◽

Vol 116 ◽

pp. 102035

Author(s):

Simei Yang ◽

Sébastien Le Nours ◽

Maria Mendez Real ◽

Sébastien Pillement

Keyword(s):

Energy Optimization ◽

Heterogeneous Cluster ◽

Run Time ◽

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Sensing user context and habits for run-time energy optimization

EURASIP Journal on Embedded Systems ◽

10.1186/s13639-016-0036-8 ◽

2016 ◽

Vol 2017 (1) ◽

Author(s):

Ismat Chaib Draa ◽

Smail Niar ◽

Jamel Tayeb ◽

Emmanuelle Grislin ◽

Mikael Desertot

Keyword(s):

Energy Optimization ◽

User Context ◽

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A statistical machine learning based modeling and exploration framework for run-time cross-stack energy optimization

2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) ◽

10.1109/ispass.2013.6557161 ◽

2013 ◽

Author(s):

Changshu Zhang ◽

Arun Ravindran

Keyword(s):

Machine Learning ◽

Energy Optimization ◽

Statistical Machine Learning ◽

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PyDac: A Resilient Run-Time Framework for Divide-and-Conquer Applications on a Heterogeneous Many-Core Architecture

Euro-Par 2013: Parallel Processing Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-642-54420-0_82 ◽

2014 ◽

pp. 845-854 ◽

Author(s):

Bin Huang ◽

Ron Sass ◽

Nathan DeBardeleben ◽

Sean Blanchard

Keyword(s):

Divide And Conquer ◽

Run Time ◽

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Prediction Based Run-Time Reconfiguration on Many-Core Embedded Systems

22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) ◽

10.1109/cse-euc.2017.210 ◽

2017 ◽

Author(s):

Zheng Li ◽

Shuibing He ◽

Li Wang

Keyword(s):

Embedded Systems ◽

Run Time ◽

Many Core ◽

Run Time Reconfiguration

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Proceedings of the 7th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and the 5th Workshop on Design Tools and Architectures For Multicore Embedded Computing Platforms on - PARMA-DITAM '16

10.1145/2872421 ◽

2016 ◽

Keyword(s):

Parallel Programming ◽

Time Management ◽

Design Tools ◽

Embedded Computing ◽

Management Techniques ◽

Run Time ◽

Computing Platforms ◽

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Run-time timing prediction for system reconfiguration on many-core embedded systems

Journal of Systems Architecture ◽

10.1016/j.sysarc.2019.03.004 ◽

2019 ◽

Vol 95 ◽

pp. 47-54 ◽

Author(s):

Zheng Li ◽

Shuibing He

Keyword(s):

Embedded Systems ◽

System Reconfiguration ◽

Run Time ◽

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Parallel paradigms and run-time management techniques for many-core architectures: The 2PARMA approach

2011 9th IEEE International Conference on Industrial Informatics ◽

10.1109/indin.2011.6035001 ◽

2011 ◽

Author(s):

C. Silvano ◽

W. Fornaciari ◽

S. Crespi Reghizzi ◽

G. Agosta ◽

G. Palermo ◽

...

Keyword(s):

Time Management ◽

Management Techniques ◽

Run Time ◽

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Machine learning for run-time energy optimisation in many-core systems

Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 ◽

10.23919/date.2017.7927243 ◽

2017 ◽

Author(s):

Dwaipayan Biswas ◽

Vibishna Balagopal ◽

Rishad Shafik ◽

Bashir M. Al-Hashimi ◽

Geoff V. Merrett

Keyword(s):

Machine Learning ◽

Run Time ◽

Energy Optimisation ◽

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Invited paper: Parallel programming and run-time resource management framework for many-core platforms: The 2PARMA approach

6th International Workshop on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC) ◽

10.1109/recosoc.2011.5981522 ◽

2011 ◽

Author(s):

C. Silvano ◽

W. Fornaciari ◽

S. Crespi Reghizzi ◽

G. Agosta ◽

G. Palermo ◽

...

Keyword(s):

Resource Management ◽

Parallel Programming ◽

Management Framework ◽

Run Time ◽

Many Core ◽

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Proceedings of the 8th Workshop and 6th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms - PARMA-DITAM '17

10.1145/3029580 ◽

2017 ◽

Keyword(s):

Parallel Programming ◽

Time Management ◽

Design Tools ◽

Embedded Computing ◽

Management Techniques ◽

Run Time ◽

Computing Platforms ◽

Download Full-text