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Voltage Overscaling Algorithms for Energy-Efficient Workflow Computations With Timing Errors

Authors:

Aurélien Cavelan,

Yves Robert,

Hongyang Sun,

Frédéric VivienAuthors Info & Claims

FTXS '15: Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale

Pages 27 - 34

https://doi.org/10.1145/2751504.2751508

Published: 15 June 2015 Publication History

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Abstract

We propose a software-based approach using dynamic voltage overscaling to reduce the energy consumption of HPC applications. This technique aggressively lowers the supply voltage below nominal voltage, which introduces timing errors, and we use Algorithm-Based Fault-Tolerance (ABFT) to provide fault tolerance for matrix operations. We introduce a formal model, and we design optimal polynomial-time solutions, to execute a linear chain of tasks. Evaluation results obtained for matrix multiplication demonstrate that our approach indeed leads to significant energy savings, compared to the standard algorithm that always operates at nominal voltage.

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Cited By

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Chen JLiang XZhao KSabzi HBhuyan LChen ZDehnavi MKulkarni MKrishnamoorthy S(2023)Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous SystemsProceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming10.1145/3572848.3577496(274-287)Online publication date: 25-Feb-2023
https://dl.acm.org/doi/10.1145/3572848.3577496
Zervakis GNtouskas FXydis SSoudris DPekmestzi K(2018)VOSsim: A Framework for Enabling Fast Voltage Overscaling Simulation for Approximate Computing CircuitsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2018.280320226:6(1204-1208)Online publication date: Jun-2018
https://doi.org/10.1109/TVLSI.2018.2803202
Alrammah HGu YWu CJu S(2017)Scheduling for Energy Efficiency and Throughput Maximization in a Faulty Cloud Environment2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS.2017.00079(561-569)Online publication date: Dec-2017
https://doi.org/10.1109/ICPADS.2017.00079
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Index Terms

Voltage Overscaling Algorithms for Energy-Efficient Workflow Computations With Timing Errors
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks

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Published In

FTXS '15: Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale

June 2015

78 pages

ISBN:9781450335690

DOI:10.1145/2751504

General Chair:
Nathan DeBardeleben
Los Alamos National Laboratory, USA
,
Program Chairs:
Nathan DeBardeleben
Los Alamos National Laboratory, USA
,
Franck Cappello
Argonne National Laboratory and UIUC, USA
,
Robert Clay
Sandia National Laboratories, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 15 June 2015

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European Union Seventh Framework Programme

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HPDC'15

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University of Arizona
SIGARCH

HPDC'15: The 24th International Symposium on High-Performance Parallel and Distributed Computing

June 15, 2015

Oregon, Portland, USA

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FTXS '15 Paper Acceptance Rate 9 of 15 submissions, 60%;

Overall Acceptance Rate 16 of 25 submissions, 64%

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Chen JLiang XZhao KSabzi HBhuyan LChen ZDehnavi MKulkarni MKrishnamoorthy S(2023)Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous SystemsProceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming10.1145/3572848.3577496(274-287)Online publication date: 25-Feb-2023
https://dl.acm.org/doi/10.1145/3572848.3577496
Zervakis GNtouskas FXydis SSoudris DPekmestzi K(2018)VOSsim: A Framework for Enabling Fast Voltage Overscaling Simulation for Approximate Computing CircuitsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2018.280320226:6(1204-1208)Online publication date: Jun-2018
https://doi.org/10.1109/TVLSI.2018.2803202
Alrammah HGu YWu CJu S(2017)Scheduling for Energy Efficiency and Throughput Maximization in a Faulty Cloud Environment2017 IEEE 23rd International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS.2017.00079(561-569)Online publication date: Dec-2017
https://doi.org/10.1109/ICPADS.2017.00079
Yi JZhang QTian YWang TLiu WSha EXu Q(2016)ApproxMap: On task allocation and scheduling for resilient applications2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASPDAC.2016.7428031(318-323)Online publication date: Jan-2016
https://doi.org/10.1109/ASPDAC.2016.7428031

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Slack redistribution for graceful degradation under voltage overscaling

The limit of dynamic voltage scaling and insomniac dynamic voltage scaling

Energy efficient Reconfigurable Computing with Adaptive Voltage and Logic scaling

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Slack redistribution for graceful degradation under voltage overscaling

The limit of dynamic voltage scaling and insomniac dynamic voltage scaling

Energy efficient Reconfigurable Computing with Adaptive Voltage and Logic scaling

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