Phase tracking and prediction
By Timothy Sherwood, Suleyman Sair, Brad Calder. 30th Annual International Symposium on Computer Architecture, 2003. Proceedings., 2003
521 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/50af1cbab390a510ad04931a6e10a76f4124c47b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Networks and Communications
- Margaret Martonosi
- Canturk Isci
- Brad Calder
- Greg Hamerly
- Timothy Sherwood
- Erez Perelman
- Jichuan Chang
- G. Sohi
In Hardware and Architecture
- Margaret Martonosi
- Canturk Isci
- Brad Calder
- Greg Hamerly
- Timothy Sherwood
- Erez Perelman
- Gilberto Contreras
- Jichuan Chang
Citations in the corpus
- Predicting inter-thread cache contention on a chip multi-processor architecture (2005, unknown): “The number”
- Automatically characterizing large scale program behavior (2002, methodology): “To this end, we have used the notion of basic block vectors and a random projection to create an efficient technique for identifying phases on-the-fly [20], which can be efficiently implemented in hardware or software.”
- Cooperative Caching for Chip Multiprocessors (2006, background): “Future research can attack this problem with program phase tracking techniques [38, 131], on-line sampling mechanisms [122], and analytical models.”
- Live, Runtime Phase Monitoring and Prediction on Real Systems with Application to Dynamic Power Management (2006, background): “describe a microarchitectural phase predictor based on the traversed basic blocks [24].”