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Title | PaRSEC: Scalability, flexibility, and hybrid architecture support for task-based applications in ECP |
Publication Type | Journal Article |
Year of Publication | 2024 |
Authors | Bouteiller, A., T. Herault, Q. Cao, J. Schuchart, and G. Bosilca |
Journal | The International Journal of High Performance Computing Applications |
Date Published | 2024-10 |
ISSN | 1094-3420 |
Abstract | This paper highlights the most significant enhancements made to PaRSEC, a scalable task-based runtime system designed for hybrid machines, during the Exascale Computing Project (ECP). The enhancements focus on expanding the capabilities of PaRSEC to address the evolving landscape of parallel computing. Notable achievements include the integration of support for three major types of accelerators (NVIDIA, AMD, and Intel GPUs), the refinement and increased flexibility of the communication subsystem, and the introduction of new programming interfaces tailored for irregular applications. Additionally, the project resulted in the development of powerful debugging and performance analysis tools aimed at assisting users in understanding and optimizing their applications. We present a comprehensive demonstration of these advancements through a series of benchmarks and applications within ECP and beyond, thereby showcasing the enhanced capabilities of PaRSEC across the diverse architectures within the ECP, providing valuable insights into the runtime system’s adaptability and performance across varied computing environments. |
URL | https://journals.sagepub.com/doi/10.1177/10943420241290520 |
DOI | 10.1177/10943420241290520 |
Short Title | The International Journal of High Performance Computing Applications |