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Non-Funded Research Activity

Poweraware Scientific Computing



Project leader:
  • Prof. Dr. Enrique Quintana Ortí
    Universidad Jaume I de Castellón,
    High Performance Computing & Architectures,
    Avd. Vicent Sos Baynat, s/n, 12071 Castellón, Spain
    Tel: +34 (0)964-7282-57
    E-mail: quintana@icc.uji.es
Researcher:
  • Dr. Alfredo Remón
    Max Planck Institut for Dynamics Complex Technical Systems Magdeburg,
    Computational Methods in Systems and Control Theory,
    Sandtorstr. 1, 39106 Magdeburg, Germany
    Tel: +49 (0)391-6110-382
    E-mail: remon@mpi-magdeburg.mpg.de
  • Dr. Pablo Ezzatti
    Universidad de la República de Montevideo,
    Computing Engineering Institute,
    Avenida 18 de Julio 1824, Montevideo 11100, Uruguay
    E-mail: pezzatti@fing.edu.uy
  • Dr. Francisco Igual
    Complutense university of Madrid,
    Group of Architecture and Technology of Computing Systems,
    Ciudad Universitaria - 28040 Madrid, Spain
    Tel: +34 913-944-394
    E-mail: figual@fdi.ucm.es
Project description:
Power consumption of HPC kernels and architectures is becoming a critical factor. The increase in power consumption of the new architectures represents a problem that must be confronted to allow new advances in HPC. As a matter of fact, concepts like Green or Poweraware computing, and Poweraware architectures are becoming more and more popular. The reduction of the power consumption without a lost of performance is the aim of this research line. This can be obtained exploiting the use of Poweraware HPC techniques and architectures.
  • From the software point of view, reorder and/or rewrite the algotrithm, and the use of specific methods and techniques are the key to reduce power consumption.
  • From the HW point of view, the exploitation of new poweraware architectures like GPUs, Carma platforms, and DSPs is sometimes desirable and/or necessary.
In this research line we pursue to obtain real and feasible poweraware solutions to engineer and scientific problems.


Related publications:

500Energy Efficiency of Parallel File Systems on an ARM Cluster;
Erxleben, T.; Duwe, K.; Saak, J.; Köhler, M.; Kuhn, M.;
2022.
accepted for ENERGY2022.
@String { CPE = {Concurrency and Comput.: Pract. Exper.} } @Article{BenDEetal18,
author = {Benner, P. and Dufrechou, E. and Ezzatti, P. and Rem\'on,
A. and Saak, J.},
title = {A {GPU} aware mixed precision solver for low rank algebraic {R}iccati equations},
journal = CPE,
year = 2018,
volume = 31,
number = 6,
month = feb,
doi = {10.1002/cpe.4462} }
A GPU aware mixed precision solver for low-rank algebraic Riccati equations;
Benner, Peter; Dufrechou, Ernesto; Ezzatti, Pablo, Remón, Alfredo;Saak, Jens;
Concurrency Computat Res Exp  :  vol. 31(6) Special Issue: Power‐Aware Computing (PACO2017);
John Wiley & Sons, Inc.; 2018.
@String { CPE = {Concurrency and Comput.: Pract. Exper.} } @Article{KoeS18,
author = {K\"{o}hler, Martin and Saak, Jens},
title = {Frequency Scaling and Energy Efficiency regarding the Gauss-Jordan Elimination Scheme with Application to the Matrix-Sign-Function on OpenPOWER 8},
journal = CPE,
year = 2018,
volume = 31,
number = 6,
month = apr,
doi = {doi.org/10.1002/cpe.4504} }
Frequency Scaling and Energy Efficiency regarding the Gauss-Jordan Elimination Scheme with Application to the Matrix-Sign-Function on OpenPOWER 8;
Köhler, Martin; Saak, Jens;
in Ezzatti, Pablo; Quintana-Qrtí Enrique; Remon, Alfredo; Saak, Jens;: Concurrency and Computation: Practice and Experience  :  vol. 31(6) Special Issue: Power‐Aware Computing (PACO2017);
2018.
@inproceedings{KoeS17,
title = {{Frequency Scaling and Energy Efficiency regarding the Gauss-Jordan Elimination Scheme on OpenPower 8}},
booktitle = { 2nd Workshop on Power-Aware Computing 2017}, year = 2017,
publisher = {Zenodo},
month = may,
doi = {10.5281/zenodo.574664},
url = {https://doi.org/10.5281/zenodo.574664} }
Frequency Scaling and Energy Efficiency regarding the Gauss-Jordan Elimination Scheme on OpenPower 8;
Köhler, Martin; Saak, Jens;
2nd Workshop on Power-Aware Computing 2017 (PACO 2017)  :  
Zenodo; 2017.
DOI: 10.5281/zenodo.574664.
@ARTICLE{KoePSetal16,
author = {K\"{o}hler, Martin and Penke, Carolin and Saak, Jens and Ezzatti,
Pablo},
title = {Energy-Aware Solution of Linear Systems with Many Right Hand Sides},
journal = {Computer Science: Research and Development},
year = {2016} }
Energy-Aware Solution of Linear Systems with Many Right Hand Sides;
Köhler, Martin; Penke, Carolin; Saak, Jens; Ezzatti, Pablo;
Computer Science – Research and Development  :  
Springer; 2016.
444Interview: "Energiesparende Algorithmen?: Hochleistungsrechner auf dem Prüfstand"
Saak, Jens; Remón, Alfredo;
Laborpraxis  :  39, pp. 16 -17;
2015.
@article{BenEQetal14b,
author = {Benner, P. and Ezzatti, P. and Quintana{-}Ort{\\'{\i}} E.~S. and Rem{\\'{o}}n, A.},
title = {Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory},
journal = {{CLEI Electronic Journal}},
volume = {17},
pages = {4--4},
year = {2014} }
Trading Off Performance for Energy in Linear Algebra Operations with Applications in Control Theory;
Benner, Peter; Ezzatti, Pablo; Quintana-Ortí, Enrique S.; Remón, Alfredo;
CLEI Electronic Journal  :  Vol. 17;
2014. ISBN/ISSN: 0717- 5000
327Solving Matrix Equations on Multi-Core and Many-Core Architectures;
Benner, Peter; Ezzatti, Pablo; Mena, Hermann; Quintana-Ortí, Enrique; Remón, Alfredo;
Algorithms  :  Vol. 6(4);
2013. ISBN/ISSN: 1999-4893
@incollection{BenEQetal13c,
author = {Benner, P. and Ezzatti P. and Quintana{-}Ort{\\'{\i}} E.~S. and Rem{\\'{o}}n, A.},
title = {Exploiting Data- and Task-Parallelism in the Solution of {R}iccati Equations on Multicore Servers and {GPUs}},
series = AdvParComp,
booktitle = {Parallel Computing: Accelerating Computational Science and Engineering (CSE), Proceedings of the International Conference on Parallel Computing,
ParCo 2013, 10-13 September 2013, Garching, Germany},
volume = {25},
pages = {367--374},
isbn = {978-1-61499-380-3},
publisher = {{IOS} Press},
editor = {Michael Bader and Arndt Bode and Hans{-}Joachim Bungartz and Michael Gerndt and Gerhard R. Joubert and Frans J. Peters},
doi = {10.3233/978-1-61499-381-0-367},
year = {2013} }
Exploiting Data- and Task-Parallelism in the Solution of Riccati Equations on Multicore Servers and GPUs;
Benner, Peter; Ezzatti, Pablo; Quintana-Ortí, Enrique S.; Remón, Alfredo;
in Michael Bader and Arndt Bode and Hans-Joachim Bungartz and Hans{-}Joachim Bungartz and Gerhard R. Joubert and Frans J. Peters: Proceedings of the International Conference on Parallel Computing, 2013  :  Vol. 25 Parallel Computing: Accelerating Computational Science and Engineering (CSE);
IOS Press; 2013. ISBN/ISSN: 978-1-61499-380-3
326On the Impact of Optimization on the Time-Power-Energy Balance of Dense Linear Algebra Factoriizations;
Benner, Peter; Ezzatti, Pablo; Quintana-Ortí, Enrique; Remón, Alfredo;
in Aversa, Rocco; KoÅ‚odziej, Joanna; Zhang, Jun; Amato, Flora; Fortino, Giancarlo: Algorithms and Architectures for Parallel Processing  :  Lecture Notes in Computer Science Vol. 8286;
Springer International Publishing; 2013. ISBN/ISSN: 978-3-319-03888-9
263Performance versus energy consumption of hyperspectral unmixin galgorithms on multi-core platforms ;
Remón, Alfredo; Sánchez, Sergio; Bernabé, Sergio; Quintana-Ortí, Enrique S.; Plaza, Antonio ;
EURASIP Journal on Advances in Signal Processing  :  Vol. 2013;
SpringerOpen; 2013. ISBN/ISSN: 1687-6180
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Jens Saak, saak@mpi-magdeburg.mpg.de