Power and temperature control on a 90-nm Itanium family processor
By R. McGowen, Christopher Poirier, C. Bostak, J. Ignowski, M. Millican, Warren H. Parks, S. Naffziger. IEEE Journal of Solid-State Circuits, 2006
306 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/9305428014a6d6217f4c2881f5af98b9f1332ae9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- David M. Brooks
- Canturk Isci
- Gu-Yeon Wei
- Xiaorui Wang
- Charles R. Lefurgy
- Malcolm S. Allen-Ware
- Margaret Martonosi
- Pradip Bose
Citations in the corpus
- An Analysis of Efficient Multi-Core Global Power Management Policies: Maximizing Performance for a Given Power Budget (2006, methodology): “For per-core power information, we assume the presence of on-core current sensors, similar to those available in the Foxton controller of the Montecito chip [30, 36].”
- Server-Level Power Control (2007, background): “Foxton [ 19 ], which is not yet available in products, uses on-chip power measurement to control power in a single Itanium processor.”
- Variation-Aware Application Scheduling and Power Management for Chip Multiprocessors (2008, methodology): “To run a power management algorithm such as LinOpt, we need on-chip sensors that provide power consumption information as in Itanium II [22], on a per-core basis.”
- Thread motion: fine-grained power management for multi-core systems (2009, methodology): “The last level cache (L2) resides on a separate VF domain and accesses to it complete in fixed time [21].”