research-article

EURORA: a European architecture toward exascale

Author:

Carlo CavazzoniAuthors Info & Claims

FutureHPC '12: Proceedings of the Future HPC Systems: the Challenges of Power-Constrained Performance

Article No.: 1, Pages 1 - 4

https://doi.org/10.1145/2322156.2322157

Published: 25 June 2012 Publication History

Get Access

Abstract

EURORA stands for EURopean many integrated cORe Architecture and it is a prototype architecture co-designed by CINECA and EUROTECH, and partially founded by PRACE 2IP project[1]. EURORA design target highly efficient cooling system (hot water) high density and sustainable TCO (Total Cost of Ownership) and, at the same time, allowing high throughput and high scalability for popular European scientific applications. EURORA will serve to evaluate system metrics related to the system efficiency such as PUE (Power Usage Effectiveness), Floating point operations per second per Watt (Flops/Watt), with the aim of envisage new, cost effective, power constrained, architectural solutions for the exaflops architectures of tomorrow. Moreover EURORA allow the porting and testing of an optimized subset of MPI library calls able to cope with both 3D torus interconnect primitives and MIC communication primitives.

References

[1]

http://www.prace-ri.eu

Google Scholar

[2]

http://www.eurotech.com/en/hpc/hpc+solutions/data+center+hpc/Aurora+Systems.

Google Scholar

[3]

F.Pivanti "The AuroraScience Project", SC10 conference, New Orleans, LA USA, November 13--19, 2010.

Google Scholar

[4]

http://www.netlib.org/benchmark/hpl/.

Google Scholar

[5]

GROMACS 4: Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation

Google Scholar

[6]

P. Giannozzi, et al J.Phys.:Condens.Matter, 21, 395502 (2009) http://dx.doi.org/10.1088/0953-8984/21/39/395502.

Crossref

Google Scholar

[7]

http://www.extoll.de/.

Google Scholar

[8]

http://liinwww.ira.uka.de/~skampi/

Google Scholar

[9]

http://software.intel.com/en-us/articles/intel-mpibenchmarks/

Google Scholar

[10]

http://web.infn.it/aurorascience/images/aurora/docs/as4isc10.pdf

Google Scholar

Cited By

View all

Galleguillos CKiziltan ZSîrbu ABabaoglu O(2019)Constraint Programming-Based Job Dispatching for Modern HPC ApplicationsPrinciples and Practice of Constraint Programming10.1007/978-3-030-30048-7_26(438-455)Online publication date: 23-Sep-2019
https://doi.org/10.1007/978-3-030-30048-7_26
Fraternali FBartolini ACavazzoni CBenini L(2018)Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green SupercomputerIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2017.276615129:7(1575-1588)Online publication date: 1-Jul-2018
https://doi.org/10.1109/TPDS.2017.2766151
Netti AGalleguillos CKiziltan ZSîrbu ABabaoglu O(2018)Heterogeneity-Aware Resource Allocation in HPC SystemsHigh Performance Computing10.1007/978-3-319-92040-5_1(3-21)Online publication date: 29-May-2018
https://doi.org/10.1007/978-3-319-92040-5_1
Show More Cited By

Index Terms

EURORA: a European architecture toward exascale

Recommendations

A systematic process for efficient execution on Intel's heterogeneous computation nodes
XSEDE '12: Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond

Heterogeneous architectures (mainstream CPUs with accelerators/co-processors) are expected to become more prevalent in high performance computing clusters. This paper deals specifically with attaining efficient execution on nodes which combine Intel's ...
MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters
SC '16: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

To attain scalable performance efficiently, the HPC community expects future exascale systems to consist of multiple nodes, each with different types of hardware accelerators. In addition to GPUs and Intel MICs, additional candidate accelerators include ...
Beowulf Clusters: From Research Curiosity to Exascale
Beowulf '14: Proceedings of the 20 Years of Beowulf Workshop on Honor of Thomas Sterling's 65th Birthday

This paper reviews the technical and social events that stimulated early deployments of large-scale Beowulf-style clusters for production scientific and engineering use at the National Center for Supercomputing Applications (NCSA) and the subsequent ...

Comments

Information & Contributors

Information

Published In

FutureHPC '12: Proceedings of the Future HPC Systems: the Challenges of Power-Constrained Performance

June 2012

31 pages

ISBN:9781450314534

DOI:10.1145/2322156

Organizing Chairs:
Sanzio Bassini
CINECA, Italy
,
Adolfy Hoisie
Pacific Northwest National Laboratory, USA
,
Darren J. Kerbyson
Pacific Northwest National Laboratory, USA
,
Dirk Pleiter
Jülich Supercomputing Centre and University of Regensburg, Germany
,
Sebastiano Fabio Schifano
University of Ferrara, Italy

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 June 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Seventh Framework Programme

Conference

ICS'12

Sponsor:

SIGARCH

ICS'12: International Conference on Supercomputing

June 25, 2012

Venezia, Italy

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
187
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Reflects downloads up to 10 Aug 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Galleguillos CKiziltan ZSîrbu ABabaoglu O(2019)Constraint Programming-Based Job Dispatching for Modern HPC ApplicationsPrinciples and Practice of Constraint Programming10.1007/978-3-030-30048-7_26(438-455)Online publication date: 23-Sep-2019
https://doi.org/10.1007/978-3-030-30048-7_26
Fraternali FBartolini ACavazzoni CBenini L(2018)Quantifying the Impact of Variability and Heterogeneity on the Energy Efficiency for a Next-Generation Ultra-Green SupercomputerIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2017.276615129:7(1575-1588)Online publication date: 1-Jul-2018
https://doi.org/10.1109/TPDS.2017.2766151
Netti AGalleguillos CKiziltan ZSîrbu ABabaoglu O(2018)Heterogeneity-Aware Resource Allocation in HPC SystemsHigh Performance Computing10.1007/978-3-319-92040-5_1(3-21)Online publication date: 29-May-2018
https://doi.org/10.1007/978-3-319-92040-5_1
Sîrbu ABabaoglu O(2018)A data‐driven approach to modeling power consumption for a hybrid supercomputerConcurrency and Computation: Practice and Experience10.1002/cpe.441030:9Online publication date: 11-Jan-2018
https://doi.org/10.1002/cpe.4410
Galleguillos CSîrbu AKiziltan ZBabaoglu OBorghesi ABridi T(2017)Data-Driven Job Dispatching in HPC SystemsMachine Learning, Optimization, and Big Data10.1007/978-3-319-72926-8_37(449-461)Online publication date: 21-Dec-2017
https://doi.org/10.1007/978-3-319-72926-8_37
Silvano CAgosta GBartolini ABeccari ABenini LBispo JCmar RCardoso JCavazzoni CMartinovič JPalermo GPalkovič MPinto PRohou ESanna NSlaninová KFanucci LTeich J(2016)Autotuning and adaptivity approach for energy efficient exascale HPC systemsProceedings of the 2016 Conference on Design, Automation & Test in Europe10.5555/2971808.2971971(708-713)Online publication date: 14-Mar-2016
https://dl.acm.org/doi/10.5555/2971808.2971971
Sirbu ABabaoglu O(2016)Predicting system-level power for a hybrid supercomputer2016 International Conference on High Performance Computing & Simulation (HPCS)10.1109/HPCSim.2016.7568420(826-833)Online publication date: Jul-2016
https://doi.org/10.1109/HPCSim.2016.7568420
Sîrbu ABabaoglu O(2016)Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC SupercomputerProceedings of the 22nd International Conference on Euro-Par 2016: Parallel Processing - Volume 983310.1007/978-3-319-43659-3_9(117-130)Online publication date: 24-Aug-2016
https://dl.acm.org/doi/10.1007/978-3-319-43659-3_9
Conficoni CBartolini ATilli ATecchiolli GBenini LNebel WAtienza D(2015)Energy-aware cooling for hot-water cooled supercomputersProceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition10.5555/2755753.2757127(1353-1358)Online publication date: 9-Mar-2015
https://dl.acm.org/doi/10.5555/2755753.2757127
Cazzaniga PFerrara FNobile MBesozzi DMauri G(2015)Parallelizing Biochemical Stochastic SimulationsProceedings of the 13th International Conference on Parallel Computing Technologies - Volume 925110.1007/978-3-319-21909-7_36(363-374)Online publication date: 31-Aug-2015
https://dl.acm.org/doi/10.1007/978-3-319-21909-7_36
Show More Cited By

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

A systematic process for efficient execution on Intel's heterogeneous computation nodes

MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters

Beowulf Clusters: From Research Curiosity to Exascale

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

A systematic process for efficient execution on Intel's heterogeneous computation nodes

MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters

Beowulf Clusters: From Research Curiosity to Exascale

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations