Active Harmony: Towards Automated Performance Tuning
By Cristian Tapus, I-Hsin Chung, Jeffrey K. Hollingsworth. International Conference on Software Composition, 2002
321 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/906ea7f53924a0b9ade3a9636d29da9f8e6b7a93
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
- J. Demmel
- R. Vuduc
- H. Hoffmann
- Michael Carbin
- Sasa Misailovic
- Martin C. Rinard
- Stelios Sidiroglou
- Jonathan Frankle
In Hardware and Architecture
- J. Demmel
- R. Vuduc
- H. Hoffmann
- Sasa Misailovic
- Martin C. Rinard
- Stelios Sidiroglou
- Sparsh Mittal
- K. Yelick
Citations in the corpus
- Managing performance vs. accuracy trade-offs with loop perforation (2011, background): “Researchers have also developed APIs that an application can use to expose variables for external control (by, for example, the operating system) [29, 19, 35].”
- Automatic performance tuning of sparse matrix kernels (2003, background): “The Active Harmony project seeks to provide a general API and run-time system that supports run-time selection and run-time parameter tuning in the setting of the Grid [306].”
- OpenTuner: An extensible framework for program autotuning (2014, unknown): “Active Harmony [31] Runtime System Nelder-Mead”
- Dynamic knobs for responsive power-aware computing (2011, background): “Researchers have also developed APIs that an application can use to expose variables for external control (by, for example, the operating system) [6, 42, 49].”