Name
Abstract | ||
|---|---|---|
Current microprocessors face constant thermal and power-related problems during their everyday use, usually solved by applying a power budget to the processor/core. Dynamic voltage and frequency scaling (DVFS) has been an effective technique that allowed microprocessors to match a predefined power budget. However, the continuous increase of leakage power due to technology scaling along with low resolution of DVFS makes it less attractive as a technique to match a predefined power budget as technology goes to deep-submicron. In this paper, we propose the use of microarchitectural techniques to accurately match a power constraint while maximizing the energy-efficiency of the processor. We will predict the processor power dissipation at cycle level (power token throttling) or at a basic block level (basic block level mechanism), using the dissipated power translated into tokens to select between different power-saving microarchitectural techniques. We also introduce a two-level approach in which DVFS acts as a coarse-grain technique to lower the average power dissipation towards the power budget, while microarchitectural techniques focus on removing the numerous power spikes. Experimental results show that the use of power-saving microarchitectural techniques in conjunction with DVFS is up to six times more precise, in terms of total energy consumed over the power budget, than only using DVFS to match a predefined power budget. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s11227-013-1044-2 | The Journal of Supercomputing |
Keywords | Field | DocType |
Hardware,Power management,Power budget,DVFS,Energy efficiency,Power estimation | Power budget,Power management,Single-core,Computer science,Efficient energy use,Parallel computing,Voltage,Basic block,Frequency scaling,Security token | Journal |
Volume | Issue | ISSN |
68 | 1 | 0920-8542 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Manuel Cebrian | 1 | 24 | 10.19 |
| Daniel Sánchez | 2 | 6 | 1.15 |
| Juan L. Aragón | 3 | 95 | 11.26 |
| Stefanos Kaxiras | 4 | 1218 | 96.24 |