As 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

• Brzoska, Karl

Subject

• Computing
• Energy

Publisher

• Worcester Polytechnic Institute

Identifier

• 121441
• E-project-042324-214531

Parola chiave

• Energy Efficiency
• MPI
• HPC

Advisor

• Taneja, Shubbhi

Year

• 2024

Date created

• 2024-04-23

Resource type

• Major Qualifying Project

Major

• Computer Science

Source

• E-project-042324-214531

Rights statement

• In Copyright

Ultima modifica

• 2024-05-28