Resumen
© 2017, Springer Science+Business Media New York. Developing software applications for high-performance computing (HPC) requires careful optimizations targeting a myriad of increasingly complex, highly interrelated software, hardware and system components. The demands placed on minimizing energy consumption on extreme-scale HPC systems and the associated shift towards hete rogeneous architectures add yet another level of complexity to program development and optimization. As a result, the software optimization process is often seen as daunting, cumbersome and time-consuming by software developers wishing to fully exploit HPC resources. To address these challenges, we have developed the Periscope Tuning Framework (PTF), an online automatic integrated tuning framework that combines both performance analysis and performance tuning with respect to the myriad of tuning parameters available to today’s software developer on modern HPC systems. This work introduces the architecture, tuning model and main infrastructure components of PTF as well as the main tuning plugins of PTF and their evaluation.
| Idioma original | Inglés |
|---|---|
| Páginas (desde-hasta) | 1063-1096 |
| Publicación | Software Quality Journal |
| Volumen | 26 |
| N.º | 3 |
| DOI | |
| Estado | Publicada - 1 sept 2018 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
-
ODS 7: Energía asequible y no contaminante
Huella
Profundice en los temas de investigación de 'A multi-aspect online tuning framework for HPC applications'. En conjunto forman una huella única.Citar esto
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver