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CORDIS

Performance Optimisation and Productivity 2

Leistungen

Plan for targeting SMEs

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

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

Updated customer feedback measurement methodology.

First POP dissemination and training report

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

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

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

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

Customer Feedback Measurement

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

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

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

The deliverable will be a prototype of the repository structure.

POP Proof-of-Concept Report

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

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

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

Final Customer Feedback Report

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

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

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)

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.

Veröffentlichungen

Collectives in hybrid MPI+MPI code: Design, practice and performance

Autoren: Huan Zhou, José Gracia, Naweiluo Zhou, Ralf Schneider
Veröffentlicht in: Parallel Computing, Ausgabe 99, 2020, Seite(n) 102669, ISSN 0167-8191
Herausgeber: Elsevier BV
DOI: 10.1016/j.parco.2020.102669

Hybrid parallelization of molecular dynamics simulations to reduce load imbalance

Autoren: Julian Morillo; Maxime Vassaux; Peter V. Coveney; Marta Garcia-Gasulla
Veröffentlicht in: The Journal of Supercomputing, Ausgabe 2, 2022, Seite(n) 9814-9215, ISSN 0920-8542
Herausgeber: Kluwer Academic Publishers
DOI: 10.1007/s11227-021-04214-4

Towards blood flow in the virtual human: efficient self-coupling of HemeLB

Autoren: 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
Veröffentlicht in: Interface focus , 11 (1) , Article 20190119. (2021), Ausgabe 3, 2020, ISSN 2042-8901
Herausgeber: Royal Society
DOI: 10.3929/ethz-b-000465832

A Generic Performance Analysis Technique Applied to Different CFD Methods for HPC

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

Dynamic resource allocation for efficient parallel CFD simulations

Autoren: G. Houzeaux, R.M. Badia, R. Borrell, D. Dosimont, J. Ejarque, M. Garcia-Gasulla, V. López
Veröffentlicht in: Computer & Fluids, 2022, ISSN 0045-7930
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.compfluid.2022.105577

Tools for GPU Computing - Debugging and Performance Analysis of Heterogenous HPC Applications

Autoren: Michael Kobloch, Bernd Mohr
Veröffentlicht in: Supercomputing Frontiers and Innovations, Ausgabe 7/1, 2020, Seite(n) 91-111, ISSN 2313-8734
Herausgeber: South Ural State University
DOI: 10.14529/jsfi200105

Performance and energy consumption of HPC workloads on a cluster based on Arm ThunderX2 CPU

Autoren: Filippo Mantovani, Marta Garcia-Gasulla, José Gracia, Esteban Stafford, Fabio Banchelli, Marc Josep-Fabrego, Joel Criado-Ledesma, Mathias Nachtmann
Veröffentlicht in: Future Generation Computer Systems, Ausgabe 112, 2020, Seite(n) 800-818, ISSN 0167-739X
Herausgeber: Elsevier BV
DOI: 10.1016/j.future.2020.06.033

Understanding the Performance of Dynamic Data Race Detection

Autoren: J. Protze, I. Thärigen, J. Wahle
Veröffentlicht in: 2021 IEEE/ACM 5th International Workshop on Software Correctness for HPC Applications (Correctness), Ausgabe 1, 2021, Seite(n) 30-40
Herausgeber: IEEE
DOI: 10.1109/correctness54621.2021.00010

Improving the MPI-IO Performance of Applications with Genetic Algorithm based Auto-tuning

Autoren: Ayse Bagbaba; Xuan Wang
Veröffentlicht in: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Ausgabe 1, 2021, Seite(n) 798-805
Herausgeber: IEEE
DOI: 10.1109/ipdpsw52791.2021.00118

Dynamic Runtime and Energy Optimization for Power-Capped HPC Applications

Autoren: Bo Wang, Christian Terboven, Matthias Müller
Veröffentlicht in: Advances in Parallel Computing, Volume 36: Parallel Computing: Technology Trends, 2020, Seite(n) 441 - 452
Herausgeber: 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?

Autoren: Speck, Robert; Knobloch, Michael; Lührs, Sebastian; Gocht, Andreas
Veröffentlicht in: Parallel-in-Time Integration Methods. PinT 2020. Springer Proceedings in Mathematics & Statistics, Ausgabe 1, 2021, Seite(n) 51-80, ISBN 978-3-030-75933-9
Herausgeber: Springer
DOI: 10.1007/978-3-030-75933-9_3

Performance Prediction for Power-Capped Applications based on Machine Learning Algorithms

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

Analyzing the Efficiency of Hybrid Codes

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

Differential Performance Analysis Workflow for Algorithmic Changes

Autoren: I. Thärigen, J. Protze, F. Orland, M. -A. Hermanns
Veröffentlicht in: 2021 IEEE/ACM International Workshop on Programming and Performance Visualization Tools (ProTools), Ausgabe 1, 2021, Seite(n) 7-16
Herausgeber: IEEE
DOI: 10.1109/protools54808.2021.00007

Exascale potholes for HPC: Execution performance and variability analysis of the flagship application code HemeLB

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

MPI Detach - Asynchronous Local Completion

Autoren: Joachim Protze, Marc-André Hermanns, Ali Demiralp, Matthias S. Müller, Torsten Kuhlen
Veröffentlicht in: 27th European MPI Users' Group Meeting, 2020, Seite(n) 71-80, ISBN 9781450388801
Herausgeber: ACM
DOI: 10.1145/3416315.3416323

Benchmarking of state-of-the-art HPC Clusters with a Production CFD Code

Autoren: Fabio Banchelli, Marta Garcia-Gasulla, Guillaume Houzeaux, Filippo Mantovani
Veröffentlicht in: Proceedings of the Platform for Advanced Scientific Computing Conference, 2020, Seite(n) 1-11, ISBN 9781450379939
Herausgeber: ACM
DOI: 10.1145/3394277.3401847

CoreNEURON: Performance and Energy Efficiency Evaluation on Intel and Arm CPUs

Autoren: Joel Criado; Marta Garcia-Gasulla; Pramod Kumbhar; Omar Awile; Ioannis Magkanaris; Filippo Mantovani
Veröffentlicht in: 2020 IEEE International Conference on Cluster Computing (CLUSTER), Ausgabe 1, 2020, Seite(n) 540-548
Herausgeber: IEEE
DOI: 10.1109/cluster49012.2020.00077

MPI Collectives for Multi-core Clusters - Optimized Performance of the Hybrid MPI+MPI Parallel Codes

Autoren: Huan Zhou, José Gracia, Ralf Schneider
Veröffentlicht in: Proceedings of the 48th International Conference on Parallel Processing: Workshops, Ausgabe yearly, 2019, Seite(n) 1-10, ISBN 9781-450371964
Herausgeber: ACM
DOI: 10.1145/3339186.3339199

Performance study of HPC applications on an Arm-based cluster using a generic efficiency model

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

Cluster of emerging technology: evaluation of a production HPC system based on A64FX

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

Towards compiler-aided correctness checking of adjoint MPI applications

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

TALP - A Lightweight Tool to Unveil Parallel Efficiency of Large-scale Executions

Autoren: Victor Lopez, Guillem Ramirez Miranda, Marta Garcia-Gasulla
Veröffentlicht in: Proceedings of the 2021 on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn STrategy, 2021, Seite(n) 3-10, ISBN 9781450383875
Herausgeber: ACM
DOI: 10.1145/3452412.3462753

A Case Study on Addressing Complex Load Imbalance in OpenMP

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

Task Inefficiency Patterns for a Wave Equation Solver

Autoren: Holger Schulz, Gonzalo Brito Gadeschi, Oleksandr Rudyy, Tobias Weinzierl
Veröffentlicht in: OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Bristol, UK, September 14–16, 2021, Proceedings, Ausgabe 12870, 2021, Seite(n) 111-124, ISBN 978-3-030-85261-0
Herausgeber: 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

Autoren: Michael Knobloch, Pavel Saviankou, Marc Schlütter, Anke Visser, Bernd Mohr
Veröffentlicht 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, Seite(n) 237-259, ISBN 978-3-030-66056-7
Herausgeber: 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

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

A Study of Memory Anomalies in OpenMP Applications

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

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