Computational sprinting has been recently proposed as an effective solution to mitigate the upcoming dark silicon uti- lization wall problems. As most applications do not re- quire constantly the maximum performance level and par- allelism, computational sprinting uses the intrinsic thermal capacitance of the heat dissipation system, possibly aug- mented with Phase Change Materials, as heat buffer for tolerating bursts of intensive computational resource usage largely exceeding the steady-state thermal design power. It is clear that sprinting poses peculiar challenges on the dy- namic thermal control policy. In this paper we introduce and evaluate an innovative and low-overhead hierarchical model- predictive controller that enables thermally-safe sprinting while guaranteeing a predictable re-sprinting rate.

A. Tilli, A. Bartolini, M. Cacciari, L. Benini (2012). Don’t burn your mobile! Safe Computational Re-Sprinting via Model Predictive Control. s.l : ACM [10.1145/2380445.2380504].

Don’t burn your mobile! Safe Computational Re-Sprinting via Model Predictive Control

TILLI, ANDREA;BARTOLINI, ANDREA;CACCIARI, MATTEO;BENINI, LUCA
2012

Abstract

Computational sprinting has been recently proposed as an effective solution to mitigate the upcoming dark silicon uti- lization wall problems. As most applications do not re- quire constantly the maximum performance level and par- allelism, computational sprinting uses the intrinsic thermal capacitance of the heat dissipation system, possibly aug- mented with Phase Change Materials, as heat buffer for tolerating bursts of intensive computational resource usage largely exceeding the steady-state thermal design power. It is clear that sprinting poses peculiar challenges on the dy- namic thermal control policy. In this paper we introduce and evaluate an innovative and low-overhead hierarchical model- predictive controller that enables thermally-safe sprinting while guaranteeing a predictable re-sprinting rate.
2012
Proceedings of the 8th IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis 2012, CODES+ISSS 2012
373
382
A. Tilli, A. Bartolini, M. Cacciari, L. Benini (2012). Don’t burn your mobile! Safe Computational Re-Sprinting via Model Predictive Control. s.l : ACM [10.1145/2380445.2380504].
A. Tilli; A. Bartolini; M. Cacciari; L. Benini
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/11585/130651
 Attenzione

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

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 6
social impact