Improving performance and energy efficiency of HPC systems for scientific workflows and applications
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open in viewerAs we enter the exascale computing era, the focus on energy efficiency and performance for High- Performance Computing (HPC) systems, particularly when handling benchmarks such as the High Perfor- mance Conjugate Gradients (HPCG), is paramount. This project aims to assess the energy efficiency and performance of HPC systems by profiling on benchmarks like HPCG and scientific workflows. The goal is to investigate the impact of various system configurations and execution parameters on the power efficiency and performance, enabling the optimization of HPC systems for energy-efficient execution of computationally intensive tasks, thereby supporting sustainable and effective scientific computing practices.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Subject
- Publisher
- Identifier
- 121441
- E-project-042324-214531
- Palavra-chave
- Advisor
- Year
- 2024
- Date created
- 2024-04-23
- Resource type
- Major
- Source
- E-project-042324-214531
- Rights statement
- Última modificação
- 2024-05-28
Relações
- Em Collection:
Itens
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