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CORDIS

Performance Optimisation and Productivity 2

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Plan for targeting SMEs (opens in new window)

This deliverable will build on the work done in POP1 and will identify the targeted strategy that will be used in the project to identify and attract SMEs to become POP users.

First Report on Proof-of-Concept (opens in new window)

This deliverable will contain a description of the proof-of-concept work during the first half of the project, including a public version of the reports and a summary of the findings and recommendations to the customers. It will also include recommendations for tool developers and programming model standardization bodies that may arise from the studies as well as recommendations from mock-up tests which should be used within the training activities.

Customer Feedback Methodology (opens in new window)

Updated customer feedback measurement methodology.

First POP dissemination and training report (opens in new window)

This report will summarize the dissemination, cooperation and training activities and events for the first 18 months of the project.

Final report on methodology development and tool improvement (opens in new window)

Report with two sections one on the extensions made to the methodology used in the performance assessment and one on the improvements made to the tools

First report on methodology development and tool improvement (opens in new window)

Report with two sections: one on the extensions made to the methodology used in the performance assessment, and one on the improvements made to the tools.

Plan for targeting CoEs (opens in new window)

This deliverable will set out our strategy for building and maintaining collaborations with the other Centres of Excellence alongside the CSA.

Customer Feedback Measurement (opens in new window)

This deliverable will summarize the findings of the Customer Advocate during the first 18 months of the project. It will also include the actual suggestions made to the internal Operational Management meetings of the projects, the actions carried-out to follow-up the POP customers, the Customer Advocate impression of whether and how such suggestions did influence the actual operation.

First Business Development and Sustainability Review (opens in new window)

This deliverable will update and review our progress in business development for the first half of the project. Including key events, markets targeted, SME conversion, CoE collaboration and progress on the KPIs. This data will then be used to map out the business development plan for the rest of the project. This deliverable will also review our approach to sustainability in light of the improvements made in the project.

Final Business Development and Sustainability Review (opens in new window)

This deliverable will review our progress in business development for the second half of the project Including key events markets targeted SME conversion CoE collaboration and progress on the KPIs It will also review the approach to sustainability and make recommendations for sustainability after the end of the project

Co-design repository structure (opens in new window)

The deliverable will be a prototype of the repository structure.

POP Proof-of-Concept Report (opens in new window)

This deliverable will contain a description of the proofofconcept work during the last half of the project including a public version of the reports and a summary of the findings and recommendations to the customers It will also include a complete list of recommendations for tool developers and programming model standardization bodies that may arise from the studies performed during the entire project as well as recommendations from mockup tests which should be used within future HPCtraining activities

First Report on Analysis (opens in new window)

This deliverable will contain a description and statistics of the cases analysed during the first half of the project, including a public version of the reports and a summary the findings and recommendations to the customers. It will also include recommendations for tool developers that may arise from the studies.

Second POP dissemination and training report (opens in new window)

This report will summarize the dissemination cooperation and training activities and events for the second half of the project

Final Customer Feedback Report (opens in new window)

This deliverable will summarize the findings of the Customer Advocate and how they influenced its operation during the whole project It will provide a list of recommendations to be carefully considered in the operation of the Center of Excellence after the end of the project in order to maximize Customer satisfaction

First co-design repository (opens in new window)

The deliverable will be the POP repository filled with global data gathered from POP1 and POP2 reports till month 18 including detailed statistics on the relevance of the different efficiency factors in the POP methodology. It will also include a first set of 8 microbenchmarks characterizing behaviours found in real applications.

Final co-design repository (opens in new window)

The deliverable will be the POP repository updated with the results of further POP2 reports and global statistics It will include a set of 20 microbenchmarks in total characterizing behaviours found in real applications indicating what part of the application they represent how important that part is and how representative can be microbenchmark be considered

Data Management Plan (DMP) (opens in new window)

Analysis of the main elements of the data management policy with regard to all the datasets generated by the project. The DMP will include a table specifying how the data will be exploited, shared for verification and re- use. In case the table cannot be provided a justification will be provided.

Publications

Collectives in hybrid MPI+MPI code: Design, practice and performance (opens in new window)

Author(s): Huan Zhou, José Gracia, Naweiluo Zhou, Ralf Schneider
Published in: Parallel Computing, Issue 99, 2020, Page(s) 102669, ISSN 0167-8191
Publisher: Elsevier BV
DOI: 10.1016/j.parco.2020.102669

Hybrid parallelization of molecular dynamics simulations to reduce load imbalance (opens in new window)

Author(s): Julian Morillo; Maxime Vassaux; Peter V. Coveney; Marta Garcia-Gasulla
Published in: The Journal of Supercomputing, Issue 2, 2022, Page(s) 9814-9215, ISSN 0920-8542
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11227-021-04214-4

Towards blood flow in the virtual human: efficient self-coupling of HemeLB (opens in new window)

Author(s): J. W. S. McCullough; Robin A. Richardson; Alex Patronis; Alex Patronis; Rene Halver; R. Marshall; Martin Ruefenacht; Brian J. N. Wylie; Thomas Odaker; Markus Wiedemann; Bryn A. Lloyd; Esra Neufeld; Godehard Sutmann; Godehard Sutmann; Anthony Skjellum; Dieter Kranzlmüller; Peter V. Coveney; Peter V. Coveney
Published in: Interface focus , 11 (1) , Article 20190119. (2021), Issue 3, 2020, ISSN 2042-8901
Publisher: Royal Society
DOI: 10.3929/ethz-b-000465832

A Generic Performance Analysis Technique Applied to Different CFD Methods for HPC (opens in new window)

Author(s): Marta Garcia-Gasulla, Fabio Banchelli, Kilian Peiro, Guillem Ramirez-Gargallo, Guillaume Houzeaux, Ismaïl Ben Hassan Saïdi, Christian Tenaud, Ivan Spisso, Filippo Mantovani
Published in: International Journal of Computational Fluid Dynamics, Issue 34/7-8, 2020, Page(s) 508-528, ISSN 1061-8562
Publisher: Taylor & Francis
DOI: 10.1080/10618562.2020.1778168

Dynamic resource allocation for efficient parallel CFD simulations (opens in new window)

Author(s): G. Houzeaux, R.M. Badia, R. Borrell, D. Dosimont, J. Ejarque, M. Garcia-Gasulla, V. López
Published in: Computer & Fluids, 2022, ISSN 0045-7930
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.compfluid.2022.105577

Tools for GPU Computing - Debugging and Performance Analysis of Heterogenous HPC Applications (opens in new window)

Author(s): Michael Kobloch, Bernd Mohr
Published in: Supercomputing Frontiers and Innovations, Issue 7/1, 2020, Page(s) 91-111, ISSN 2313-8734
Publisher: South Ural State University
DOI: 10.14529/jsfi200105

Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU (opens in new window)

Author(s): Filippo Mantovani, Marta Garcia-Gasulla, José Gracia, Esteban Stafford, Fabio Banchelli, Marc Josep-Fabrego, Joel Criado-Ledesma, Mathias Nachtmann
Published in: Future Generation Computer Systems, Issue 112, 2020, Page(s) 800-818, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2020.06.033

Understanding the Performance of Dynamic Data Race Detection (opens in new window)

Author(s): J. Protze, I. Thärigen, J. Wahle
Published in: 2021 IEEE/ACM 5th International Workshop on Software Correctness for HPC Applications (Correctness), Issue 1, 2021, Page(s) 30-40
Publisher: IEEE
DOI: 10.1109/correctness54621.2021.00010

Improving the MPI-IO Performance of Applications with Genetic Algorithm based Auto-tuning (opens in new window)

Author(s): Ayse Bagbaba; Xuan Wang
Published in: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Issue 1, 2021, Page(s) 798-805
Publisher: IEEE
DOI: 10.1109/ipdpsw52791.2021.00118

Dynamic Runtime and Energy Optimization for Power-Capped HPC Applications (opens in new window)

Author(s): Bo Wang, Christian Terboven, Matthias Müller
Published in: Advances in Parallel Computing, Volume 36: Parallel Computing: Technology Trends, 2020, Page(s) 441 - 452
Publisher: IOS Press
DOI: 10.3233/apc200070

Using performance analysis tools for parallel-in-time integrators -- Does my time-parallel code do what I think it does? (opens in new window)

Author(s): Speck, Robert; Knobloch, Michael; Lührs, Sebastian; Gocht, Andreas
Published in: Parallel-in-Time Integration Methods. PinT 2020. Springer Proceedings in Mathematics & Statistics, Issue 1, 2021, Page(s) 51-80, ISBN 978-3-030-75933-9
Publisher: Springer
DOI: 10.1007/978-3-030-75933-9_3

Performance Prediction for Power-Capped Applications based on Machine Learning Algorithms (opens in new window)

Author(s): Bo Wang, Jannis Klinkenberg, Daniel Ellsworth, Christian Terboven, Matthias Muller
Published in: 2019 International Conference on High Performance Computing & Simulation (HPCS), 2019, Page(s) 842-849, ISBN 978-1-7281-4484-9
Publisher: IEEE
DOI: 10.1109/hpcs48598.2019.9188144

Analyzing the Efficiency of Hybrid Codes (opens in new window)

Author(s): Judit Gimenez, Estanislao Mercadal, German Llort, Sandra Mendez
Published in: 2020 19th International Symposium on Parallel and Distributed Computing (ISPDC), 2020, Page(s) 29-36, ISBN 978-1-7281-8946-8
Publisher: IEEE
DOI: 10.1109/ispdc51135.2020.00014

Differential Performance Analysis Workflow for Algorithmic Changes (opens in new window)

Author(s): I. Thärigen, J. Protze, F. Orland, M. -A. Hermanns
Published in: 2021 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools), Issue 1, 2021, Page(s) 7-16
Publisher: IEEE
DOI: 10.1109/protools54808.2021.00007

Exascale potholes for HPC: Execution performance and variability analysis of the flagship application code HemeLB (opens in new window)

Author(s): Brian J. N. Wylie
Published in: 2020 IEEE/ACM International Workshop on HPC User Support Tools (HUST) and Workshop on Programming and Performance Visualization Tools (ProTools), 2020, Page(s) 59-70, ISBN 978-1-6654-2280-2
Publisher: IEEE Xplore
DOI: 10.1109/hustprotools51951.2020.00014

MPI Detach - Asynchronous Local Completion (opens in new window)

Author(s): Joachim Protze, Marc-André Hermanns, Ali Demiralp, Matthias S. Müller, Torsten Kuhlen
Published in: 27th European MPI Users' Group Meeting, 2020, Page(s) 71-80, ISBN 9781450388801
Publisher: ACM
DOI: 10.1145/3416315.3416323

Benchmarking of state-of-the-art HPC Clusters with a Production CFD Code (opens in new window)

Author(s): Fabio Banchelli, Marta Garcia-Gasulla, Guillaume Houzeaux, Filippo Mantovani
Published in: Proceedings of the Platform for Advanced Scientific Computing Conference, 2020, Page(s) 1-11, ISBN 9781450379939
Publisher: ACM
DOI: 10.1145/3394277.3401847

CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs (opens in new window)

Author(s): Joel Criado; Marta Garcia-Gasulla; Pramod Kumbhar; Omar Awile; Ioannis Magkanaris; Filippo Mantovani
Published in: 2020 IEEE International Conference on Cluster Computing (CLUSTER), Issue 1, 2020, Page(s) 540-548
Publisher: IEEE
DOI: 10.1109/cluster49012.2020.00077

MPI Collectives for Multi-core Clusters - Optimized Performance of the Hybrid MPI+MPI Parallel Codes (opens in new window)

Author(s): Huan Zhou, José Gracia, Ralf Schneider
Published in: Proceedings of the 48th International Conference on Parallel Processing: Workshops, Issue yearly, 2019, Page(s) 1-10, ISBN 9781-450371964
Publisher: ACM
DOI: 10.1145/3339186.3339199

Performance study of HPC applications on an Arm-based cluster using a generic efficiency model (opens in new window)

Author(s): Fabio Banchelli, Kilian Peiro, Andrea Querol, Guillem Ramirez-Gargallo, Guillem Ramirez-Miranda, Joan Vinyals, Pablo Vizcaino, Marta Garcia-Gasulla, Filippo Mantovani
Published in: 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Issue yearly, 2020, Page(s) 167-174, ISBN 978-1-7281-6582-0
Publisher: IEEE
DOI: 10.1109/pdp50117.2020.00032

Cluster of emerging technology: evaluation of a production HPC system based on A64FX (opens in new window)

Author(s): Fabio Banchelli, Kilian Peiro, Guillem Ramirez-Gargallo, Joan Vinyals, David Vicente, Marta Garcia-Gasulla, Filippo Mantovani
Published in: 2021 IEEE International Conference on Cluster Computing (CLUSTER), 2021, Page(s) 741-750, ISBN 978-1-7281-9666-4
Publisher: IEEE
DOI: 10.1109/cluster48925.2021.00110

Towards compiler-aided correctness checking of adjoint MPI applications (opens in new window)

Author(s): Alexander Huck, Joachim Protze, Jan-Patrick Lehr, Christian Terboven, Christian Bischof, Matthias S. Muller
Published in: 2020 IEEE/ACM 4th International Workshop on Software Correctness for HPC Applications (Correctness), 2020, Page(s) 40-48, ISBN 978-0-7381-1044-8
Publisher: IEEE
DOI: 10.1109/correctness51934.2020.00010

TALP - A Lightweight Tool to Unveil Parallel Efficiency of Large-scale Executions (opens in new window)

Author(s): Victor Lopez, Guillem Ramirez Miranda, Marta Garcia-Gasulla
Published in: Proceedings of the 2021 on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy, 2021, Page(s) 3-10, ISBN 9781450383875
Publisher: ACM
DOI: 10.1145/3452412.3462753

A Case Study on Addressing Complex Load Imbalance in OpenMP (opens in new window)

Author(s): Fabian Orland, Christian Terboven
Published in: OpenMP: Portable Multi-Level Parallelism on Modern Systems - 16th International Workshop on OpenMP, IWOMP 2020, Austin, TX, USA, September 22–24, 2020, Proceedings, Issue 12295, 2020, Page(s) 130-145, ISBN 978-3-030-58143-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58144-2_9

Task Inefficiency Patterns for a Wave Equation Solver (opens in new window)

Author(s): Holger Schulz, Gonzalo Brito Gadeschi, Oleksandr Rudyy, Tobias Weinzierl
Published in: OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, September 14–16, 2021, Proceedings, Issue 12870, 2021, Page(s) 111-124, ISBN 978-3-030-85261-0
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-85262-7_8

A Picture Is Worth a Thousand Numbers—Enhancing Cube’s Analysis Capabilities with Plugins (opens in new window)

Author(s): Michael Knobloch, Pavel Saviankou, Marc Schlütter, Anke Visser, Bernd Mohr
Published in: Tools for High Performance Computing 2018 / 2019 - Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High Performance Computing, Stuttgart, Germany, September 2018, and Dresden, Germany, September 2019, 2021, Page(s) 237-259, ISBN 978-3-030-66056-7
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-66057-4_13

Score-P and OMPT: Navigating the Perils of Callback-Driven Parallel Runtime Introspection (opens in new window)

Author(s): Christian Feld, Simon Convent, Marc-André Hermanns, Joachim Protze, Markus Geimer, Bernd Mohr
Published in: OpenMP: Conquering the Full Hardware Spectrum - 15th International Workshop on OpenMP, IWOMP 2019, Auckland, New Zealand, September 11–13, 2019, Proceedings, Issue 11718, 2019, Page(s) 21-35, ISBN 978-3-030-28595-1
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-28596-8_2

A Study of Memory Anomalies in OpenMP Applications (opens in new window)

Author(s): Lechen Yu, Joachim Protze, Oscar Hernandez, Vivek Sarkar
Published in: OpenMP: Portable Multi-Level Parallelism on Modern Systems - 16th International Workshop on OpenMP, IWOMP 2020, Austin, TX, USA, September 22–24, 2020, Proceedings, Issue 12295, 2020, Page(s) 328-342, ISBN 978-3-030-58143-5
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58144-2_21

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