Dynamic frequency and voltage scaling (DVFS) techniques have been widely used for meeting energy constraints. Single-chip many-core systems bring new challenges owing to the large number of operating points and the shift to message passing interface (MPI) from shared memory communication. DVFS, however, has been mostly studied on single-chip systems with one or few cores, without considering the impact of the communication among cores. This paper evaluates the impact of frequency scaling on the performance and power of many-core systems with MPI. We conduct experiments on the Single-Chip Cloud Computer (SCC), an experimental many-core processor developed by Intel. The paper first introduces the run-time monitoring infrastructure and the application suite we have designed for an in-depth evaluation of the SCC. We provide an extensive analysis quantifying the effects of frequency perturbations on performance and energy efficiency. Experimental results show that runtime communication patterns lead to significant differences in power/performance tradeoffs in many-core systems with MPI.

Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer / Bartolini A.; Sadri M. ; Furst J. ; Coskun A.K. ; Benini L.. - STAMPA. - (2012), pp. 181-186. (Intervento presentato al convegno Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012 tenutosi a Dresden nel 12-16 March 2012) [10.1109/DATE.2012.6176459].

Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer

BARTOLINI, ANDREA;SADRI, MOHAMMADSADEGH;BENINI, LUCA
2012

Abstract

Dynamic frequency and voltage scaling (DVFS) techniques have been widely used for meeting energy constraints. Single-chip many-core systems bring new challenges owing to the large number of operating points and the shift to message passing interface (MPI) from shared memory communication. DVFS, however, has been mostly studied on single-chip systems with one or few cores, without considering the impact of the communication among cores. This paper evaluates the impact of frequency scaling on the performance and power of many-core systems with MPI. We conduct experiments on the Single-Chip Cloud Computer (SCC), an experimental many-core processor developed by Intel. The paper first introduces the run-time monitoring infrastructure and the application suite we have designed for an in-depth evaluation of the SCC. We provide an extensive analysis quantifying the effects of frequency perturbations on performance and energy efficiency. Experimental results show that runtime communication patterns lead to significant differences in power/performance tradeoffs in many-core systems with MPI.
2012
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012
181
186
Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer / Bartolini A.; Sadri M. ; Furst J. ; Coskun A.K. ; Benini L.. - STAMPA. - (2012), pp. 181-186. (Intervento presentato al convegno Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012 tenutosi a Dresden nel 12-16 March 2012) [10.1109/DATE.2012.6176459].
Bartolini A.; Sadri M. ; Furst J. ; Coskun A.K. ; Benini L.
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/132672
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact