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» Improving Branch Predictors by Correlating on Data Values
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1998
Tsinghua U.
13 years 12 months ago
Multipath Execution: Opportunities and Limits
Even sophisticated branch-prediction techniques necessarily suffer some mispredictions, and even relatively small mispredict rates hurt performance substantially in current-genera...
Pritpal S. Ahuja, Kevin Skadron, Margaret Martonos...
WMCSA
2000
IEEE
14 years 20 hour ago
Using history to improve mobile application adaptation
Prior work has shown the value of changing application fidelity to adapt to varying resource levels in a mobile environment. Choosing the right fidelity requires us to predict i...
Dushyanth Narayanan, Jason Flinn, Mahadev Satyanar...
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
14 years 8 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
EUROPAR
2004
Springer
14 years 1 months ago
Improving Data Cache Performance via Address Correlation: An Upper Bound Study
Address correlation is a technique that links the addresses that reference the same data values. Using a detailed source-code level analysis, a recent study [1] revealed that diffe...
Peng-fei Chuang, Resit Sendag, David J. Lilja
HPCA
2003
IEEE
14 years 8 months ago
TCP: Tag Correlating Prefetchers
Although caches for decades have been the backbone of the memory system, the speed gap between CPU and main memory suggests their augmentation with prefetching mechanisms. Recentl...
Zhigang Hu, Margaret Martonosi, Stefanos Kaxiras