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PDP
2010
IEEE
15 years 8 months ago
Malleable-Lab: A Tool for Evaluating Adaptive Online Schedulers on Malleable Jobs
—The emergence of multi-core computers has led to explosive development of parallel applications and hence the need of efficient schedulers for parallel jobs. Adaptive online sc...
Yangjie Cao, Hongyang Sun, Wen-Jing Hsu, Depei Qia...
ECBS
2007
IEEE
155views Hardware» more  ECBS 2007»
15 years 8 months ago
Evaluating the Quality of Models Extracted from Embedded Real-Time Software
Due to the high cost of modeling, model-based techniques are yet to make their impact in the embedded systems industry, which still persist on maintaining code-oriented legacy sys...
Joel Huselius, Johan Kraft, Hans Hansson, Sasikuma...
174
Voted
CF
2010
ACM
15 years 8 months ago
Towards greener data centers with storage class memory: minimizing idle power waste through coarse-grain management in fine-grai
Studies have shown much of today’s data centers are over-provisioned and underutilized. Over-provisioning cannot be avoided as these centers must anticipate peak load with burst...
In Hwan Doh, Young Jin Kim, Jung Soo Park, Eunsam ...
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 8 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
KDD
2010
ACM
203views Data Mining» more  KDD 2010»
15 years 8 months ago
Collusion-resistant privacy-preserving data mining
Recent research in privacy-preserving data mining (PPDM) has become increasingly popular due to the wide application of data mining and the increased concern regarding the protect...
Bin Yang, Hiroshi Nakagawa, Issei Sato, Jun Sakuma
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