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» The Predictability of Data Values
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EUROPAR
1997
Springer
14 years 1 months ago
The Performance Potential of Value and Dependence Prediction
Abstract. The serialization constraints induced by the detection and enforcement of true data dependences have always been regarded as requirements for correct execution. We propos...
Mikko H. Lipasti, John Paul Shen
ICDM
2010
IEEE
166views Data Mining» more  ICDM 2010»
13 years 7 months ago
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibat...
MICRO
2000
IEEE
133views Hardware» more  MICRO 2000»
14 years 2 months ago
Compiler controlled value prediction using branch predictor based confidence
Value prediction breaks data dependencies in a program thereby creating instruction level parallelism that can increase program performance. Hardware based value prediction techni...
Eric Larson, Todd M. Austin
MICRO
1999
IEEE
123views Hardware» more  MICRO 1999»
14 years 2 months ago
Improving Branch Predictors by Correlating on Data Values
Branch predictors typically use combinations of branch PC bits and branch histories to make predictions. Recent improvements in branch predictors have come from reducing the effec...
Timothy H. Heil, Zak Smith, James E. Smith
PROMISE
2010
13 years 4 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies