A Proposal for a Distributed Performance Analysis Tool for a Task-based Parallelism Framework
Resumo
We propose CharmVZ, a distributed Python-based performance analysis tool for applications developed with Charm++. Inspired by StarVZ, CharmVZ addresses the limitations of current tools by offering a distributed option to analyze large-scale traces of widely used applications such as ChaNGa and NAMD. Additionally, by integrating with the Python ecosystem, CharmVZ will enable new ways of analyzing data, for example, through machine learning, making it a novel tool for optimizing HPC applications.
Referências
Augonnet, C., Thibault, S., Namyst, R., and Wacrenier, P.-A. (2009). Starpu: a unified platform for task scheduling on heterogeneous multicore architectures. In Euro-Par 2009 Parallel Processing: 15th International Euro-Par Conference, Delft, The Netherlands, August 25-28, 2009. Proceedings 15, pages 863–874. Springer.
Geimer, M., Wolf, F., Wylie, B. J., Abrahám, E., Becker, D., and Mohr, B. (2010). The scalasca performance toolset architecture. Concurrency and computation: Practice and experience, 22(6):702–719.
Jetley, P., Gioachin, F., Mendes, C., Kale, L. V., and Quinn, T. (2008). Massively parallel cosmological simulations with changa. In 2008 IEEE International Symposium on Parallel and Distributed Processing, pages 1–12. IEEE.
Kale, L. V. and Krishnan, S. (1993). Charm++ a portable concurrent object oriented system based on c++. In Proceedings of the eighth annual conference on Objectoriented programming systems, languages, and applications, pages 91–108.
Nesi, L. L., Pinto, V. G., Miletto, M. C., and Schnorr, L. M. (2020). Starvz: Performance analysis of task-based parallel applications.
Phillips, J. C., Hardy, D. J., Maia, J. D., Stone, J. E., Ribeiro, J. V., Bernardi, R. C., Buch, R., Fiorin, G., Henin, J., Jiang, W., et al. (2020). Scalable molecular dynamics on cpu and gpu architectures with namd. The Journal of chemical physics, 153(4).
Geimer, M., Wolf, F., Wylie, B. J., Abrahám, E., Becker, D., and Mohr, B. (2010). The scalasca performance toolset architecture. Concurrency and computation: Practice and experience, 22(6):702–719.
Jetley, P., Gioachin, F., Mendes, C., Kale, L. V., and Quinn, T. (2008). Massively parallel cosmological simulations with changa. In 2008 IEEE International Symposium on Parallel and Distributed Processing, pages 1–12. IEEE.
Kale, L. V. and Krishnan, S. (1993). Charm++ a portable concurrent object oriented system based on c++. In Proceedings of the eighth annual conference on Objectoriented programming systems, languages, and applications, pages 91–108.
Nesi, L. L., Pinto, V. G., Miletto, M. C., and Schnorr, L. M. (2020). Starvz: Performance analysis of task-based parallel applications.
Phillips, J. C., Hardy, D. J., Maia, J. D., Stone, J. E., Ribeiro, J. V., Bernardi, R. C., Buch, R., Fiorin, G., Henin, J., Jiang, W., et al. (2020). Scalable molecular dynamics on cpu and gpu architectures with namd. The Journal of chemical physics, 153(4).
Publicado
23/04/2025
Como Citar
ASCH, Christian; SCHNORR, Lucas Mello; MENESES, Esteban.
A Proposal for a Distributed Performance Analysis Tool for a Task-based Parallelism Framework. In: ESCOLA REGIONAL DE ALTO DESEMPENHO DA REGIÃO SUL (ERAD-RS), 25. , 2025, Foz do Iguaçu/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 143-144.
ISSN 2595-4164.
DOI: https://doi.org/10.5753/eradrs.2025.6788.
