Application-level modeling and analysis of time and energy for optimizing power-constrained extreme-scale applications

Application modeling;Statistical models;System simulation;Macro-scale simulation;Energy modeling;Power modeling

Anger, Eric ; Riley, George Electrical and Computer Engineering Gavrilovska, Ada Vuduc, Richard Wills, Linda ; Riley, George

University:Georgia Institute of Technology

Department:Electrical and Computer Engineering

关键词: Application modeling;    Statistical models;    System simulation;    Macro-scale simulation;    Energy modeling;    Power modeling;   

Others  :  https://smartech.gatech.edu/bitstream/1853/56331/1/ANGER-DISSERTATION-2016.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

The objective of the proposed research is to create a methodology for the modeling and characterization of extreme-scale applications operating within power limitations in order to guide optimization. It is likely that forthcoming high-performance machines will operate with stringent power caps, tying the performance of the systems to their energy-efficiency. Optimizing extreme-scale applications to operate within power limitations will require new techniques for understanding the relationships between application characterization, performance, and energy. The main contributions of this work are: 1) a methodology for the time and energy modeling of high-performance computing applications that can scale to a large number of nodes, 2) characterization of the different ways time and energy are affected by degree of parallelism and processor clock frequency, and 3) optimization of performance under a power cap when scheduling applications, both bulk-synchronous and data-parallel task-based application models.