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• W4316020004 endingPage "890" @default.
• W4316020004 startingPage "890" @default.
• W4316020004 abstract "High-performance computing (HPC), according to its name, is traditionally oriented toward performance, especially the execution time and scalability of the computations. However, due to the high cost and environmental issues, energy consumption has already become a very important factor that needs to be considered. The paper presents a survey of energy-aware scheduling methods used in a modern HPC environment, starting with the problem definition, tackling various goals set up for this challenge, including a bi-objective approach, power and energy constraints, and a pure energy solution, as well as metrics related to the subject. Then, considered types of HPC systems and related energy-saving mechanisms are described, from multicore-processors/graphical processing units (GPU) to more complex solutions, such as compute clusters supporting dynamic voltage and frequency scaling (DVFS), power capping, and other functionalities. The main section presents a collection of carefully selected algorithms, classified by the programming method, e.g., machine learning or fuzzy logic. Moreover, other surveys published on this subject are summarized and commented on, and finally, an overview of the current state-of-the-art with open problems and further research areas is presented." @default.
• W4316020004 created "2023-01-14" @default.
• W4316020004 creator A5010442003 @default.
• W4316020004 creator A5060244583 @default.
• W4316020004 creator A5080295497 @default.
• W4316020004 date "2023-01-12" @default.
• W4316020004 modified "2023-10-01" @default.
• W4316020004 title "Energy-Aware Scheduling for High-Performance Computing Systems: A Survey" @default.
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