Heat-and-run: leveraging SMT and CMP to manage power density through the operating system
By Mohamed A. Gomaa, Michael D. Powell, T. N. Vijaykumar. ASPLOS XI, 2004
342 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/848abc9a0a834802be18de1471f9749770763535
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Margaret Martonosi
- Canturk Isci
- Pradip Bose
- Aman Kansal
- David M. Brooks
- James Mc Donald
- Feng Zhao
- Gu-Yeon Wei
In Electrical and Electronic Engineering
- David M. Brooks
- Canturk Isci
- Gu-Yeon Wei
- Margaret Martonosi
- Pradip Bose
- Aman Kansal
- James Mc Donald
- Feng Zhao
In Hardware and Architecture
- David M. Brooks
- Canturk Isci
- Margaret Martonosi
- Gu-Yeon Wei
- Pradip Bose
- Aman Kansal
- James Mc Donald
- Alper Buyuktosunoglu
Citations in the corpus
- Techniques for Multicore Thermal Management: Classification and New Exploration (2006, background): “With temperature control as a key limitation to processor performance, many recent works in computer architecture focus on issues of thermal control [9, 10, 15, 18, 22, 23, 29, 33].”
- An Analysis of Efficient Multi-Core Global Power Management Policies: Maximizing Performance for a Given Power Budget (2006, background): “Prior research in this area has been primarily limited to studying the efficacy of providing dynamic management of power and thermal hot spots through localized responses provided at the core-level [2, 11] or through global scheduling heuristics [7, 22, 37].”
- Thread motion: fine-grained power management for multi-core systems (2009, background): “[24] propose using thread migration to prevent local hot spots that can result in chip failure.”
- Energy aware consolidation for cloud computing (2008, background): “Power aware load balancing and migration of activity within a processor, among multicore processors and servers has also been studied in [3, 2, 6].”