Program behavior prediction using a statistical metric model

Performance Evaluation Review

Volumn 38, Issue 1 SPEC. ISSUE, 2010, Pages 371-372

  Sarikaya, Ruhi ^a   Isci, Canturk ^a   Buyuktosunoglu, Alper ^a  

^a IBM RESEARCH   (United States)

Author keywords

Management; Measurement; Performance

Indexed keywords

ADAPTIVE COMPUTING SYSTEMS; DYNAMIC POWER MANAGEMENT; METRIC MODEL; POWER-PERFORMANCE TRADE-OFFS; PREDICTION ACCURACY; PROGRAM BEHAVIOR; PROGRAM PHASIS;

ELECTRIC POWER MEASUREMENT; ENERGY MANAGEMENT; FORECASTING;

COMPUTER SYSTEMS;

EID: 77954949370     PISSN: 01635999     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1811099.1811092     Document Type: Conference Paper

References (6)

1. E. Duesterwald, et al. Characterizing and Predicting Program Behavior and its Variability. PACT, 2003.
2. C. Isci, et al. Live, Runtime Phase Monitoring and Prediction on Real Systems with Application to Dynamic Power Management. MICRO, 2006.
3. C. Isci, et al. Long-term Workload Phases: Duration Predictions and Applications to DVFS. IEEE Micro, 2005.
4. F. Jelinek et al. Interpolated Estimation of Markov Source Parameters from Sparse Data Pattern Recognition in Practice, E.S. Gelsema and L. N. Kanal, 1980.
5. R. Sarikaya, et al. A Unified Prediction Method for Predicting Program Behavior. IEEE Trans. on Computers, 2010.
6. T. Sherwood, et al. Phase Tracking and Prediction International Symposium on Computer Architecture, 2003.