Performance Analysis and Optimizations of ERO2.0 Fusion Code
Authors: 
Marta Garcia-Gasulla, Joan Vinyals-Ylla-Catala, Juri Romazanov, Christoph Baumann, Dmitry MatveevAuthors Info & Claims
Marta Garcia-Gasulla, Joan Vinyals-Ylla-Catala, Juri Romazanov, Christoph Baumann, Dmitry MatveevAuthors Info & ClaimsArticle No.: 18, Pages 1 - 11
Abstract
In this paper, we present a thorough performance analysis of a highly parallel Monte Carlo code for modeling global erosion and redeposition in fusion devices, ERO2.0. The study shows that the main bottleneck preventing the code from efficiently using the resources is the load imbalance at different levels. Load imbalance is inherent to the problem being solved, particle transport, and deposition. Based on the findings of the analysis, we also describe optimizations implemented on the code to improve its performance on HPC clusters. The proposed optimizations use MPI and OpenMP features, making them portable across architectures and achieving a 3.34x speedup with respect to the original code.
References
[1]
Fabio Banchelli, Kilian Peiro, Andrea Querol, Guillem Ramirez-Gargallo, Guillem Ramirez-Miranda, Joan Vinyals, Pablo Vizcaino, Marta Garcia-Gasulla, and Filippo Mantovani. 2020. Performance study of HPC applications on an Arm-based cluster using a generic efficiency model. In 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). IEEE, 167--174.
[2]
Barcelona Supercomputing Center. 2023. BSC. https://www.bsc.es
[3]
Barcelona Supercomputing Center. 2023. Extrae. https://tools.bsc.es/extrae
[4]
Barcelona Supercomputing Center. 2023. Paraver. https://tools.bsc.es/paraver
[5]
Barcelona Supercomputing Center. 2023. Performance Tools. https://tools.bsc.es
[6]
Barcelona Supercomputing Center. 2023. MareNostrum 4. Retrieved November 27, 2023 from https://www.bsc.es/supportkc/docs/MareNostrum4/overview
[7]
Jülich Supercomputing Centre. 2021. JURECA: Data Centric and Booster Modules implementing the Modular Supercomputing Architecture at Jülich Supercomputing Centre. Journal of large-scale research facilities 7, Article 182 (oct 2021).
[8]
Marc Clascà, Marta Garcia-Gasulla, Arnau Montagud, José Carbonell Caballero, and Alfonso Valencia. 2023. Lessons learned from a Performance Analysis and Optimization of a multiscale cellular simulation. In Proceedings of the Platform for Advanced Scientific Computing Conference. 1--10.
[9]
Marta Garcia-Gasulla, Fabio Banchelli, Kilian Peiro, Guillem Ramirez-Gargallo, Guillaume Houzeaux, Ismaïl Ben Hassan Saïdi, Christian Tenaud, Ivan Spisso, and Filippo Mantovani. 2020. A generic performance analysis technique applied to different CFD methods for HPC. International Journal of Computational Fluid Dynamics 34, 7--8 (2020), 508--528.
[10]
Dixie Hisley, Gagan Agrawal, Punyam Satya-narayana, and Lori Pollock. 2000. Porting and performance evaluation of irregular codes using OpenMP. Concurrency: Practice and Experience 12, 12 (2000), 1241--1259.
[11]
Vincent Pillet, Jesús Labarta, Toni Cortes, and Sergi Girona. 1995. Paraver: A tool to visualize and analyze parallel code. In Proceedings of WoTUG-18: transputer and occam developments, Vol. 44. 17--31.
[12]
J Romazanov, D Borodin, A Kirschner, S Brezinsek, S Silburn, A Huber, V Huber, H Bufferand, M Firdaouss, D Brömmel, et al. 2017. First ERO2. 0 modeling of Be erosion and non-local transport in JET ITER-like wall. Physica scripta 2017, T170 (2017), 014018.
[13]
J. Romazanov, S. Brezinsek, D. Borodin, M. Groth, S. Wiesen, A. Kirschner, A. Huber, A. Widdowson, M. Airila, A. Eksaeva, I. Borodkina, and Ch. Linsmeier. 2019. Beryllium global erosion and deposition at JET-ILW simulated with ERO2.0. Nuclear Materials and Energy 18 (2019), 331--338.
[14]
Harald Servat et al. 2013. Framework for a productive performance optimization. Parallel Comput. 39, 8 (2013), 336--353.
[15]
E. Wüst, T. Dittmar, C. Kawan, J. Romazanov, and S. Brezinsek. 2022. Laser ablation molecular isotopic spectroscopy: A novel tool to characterise the distribution of 13C and 12C on graphite after 13CH4 tracer injection in Wendelstein 7-X. Nuclear Materials and Energy 33 (2022), 101287.
Index Terms
- Performance Analysis and Optimizations of ERO2.0 Fusion Code
Recommendations
Combining Data and Computation Distribution Directives for Hybrid Parallel Programming: A Transformation System
This paper describes dSTEP, a directive-based programming model for hybrid shared and distributed memory machines. The originality of our work is the definition and an implementation of a unified high-level programming model addressing both data and ...
Towards automatic translation of OpenMP to MPI
ICS '05: Proceedings of the 19th annual international conference on SupercomputingWe present compiler techniques for translating OpenMP shared-memory parallel applications into MPI message-passing programs for execution on distributed memory systems. This translation aims to extend the ease of creating parallel applications with ...
Optimization of MPI collective communication on BlueGene/L systems
ICS '05: Proceedings of the 19th annual international conference on SupercomputingBlueGene/L is currently the world's fastest supercomputer. It consists of a large number of low power dual-processor compute nodes interconnected by high speed torus and collective networks, Because compute nodes do not have shared memory, MPI is the ...
Comments
Information & Contributors
Information
Published In
June 2024
296 pages
ISBN:9798400706394
DOI:10.1145/3659914
- Proceedings Chairs:
- Timothy Robinson,
- Michèle Woodtli,
- Program Chairs:
- Axel Huebl,
- Cristina Silvano
Copyright © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
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 the author(s) 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].
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 03 June 2024
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Conference
PASC '24
Sponsor:
Acceptance Rates
PASC '24 Paper Acceptance Rate 26 of 36 submissions, 72%;
Overall Acceptance Rate 109 of 221 submissions, 49%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 25Total Downloads
- Downloads (Last 12 months)25
- Downloads (Last 6 weeks)11
Reflects downloads up to 10 Aug 2024
Other Metrics
Citations
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.
Sign in