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» Using Machine Learning to Guide Architecture Simulation
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IPPS
2010
IEEE
13 years 6 months ago
Offline library adaptation using automatically generated heuristics
Automatic tuning has emerged as a solution to provide high-performance libraries for fast changing, increasingly complex computer architectures. We distinguish offline adaptation (...
Frédéric de Mesmay, Yevgen Voronenko...
ICPP
1997
IEEE
14 years 7 days ago
Automatic Parallelization and Scheduling of Programs on Multiprocessors using CASCH
r The lack of a versatile software tool for parallel program development has been one of the major obstacles for exploiting the potential of high-performance architectures. In this...
Ishfaq Ahmad, Yu-Kwong Kwok, Min-You Wu, Wei Shu
APCSAC
2001
IEEE
13 years 11 months ago
Exploiting Java Instruction/Thread Level Parallelism with Horizontal Multithreading
Java bytecodes can be executed with the following three methods: a Java interpretor running on a particular machine interprets bytecodes; a Just-In-Time (JIT) compiler translates ...
Kenji Watanabe, Wanming Chu, Yamin Li
IJCAI
2007
13 years 9 months ago
Explanation-Based Feature Construction
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong
CISSE
2008
Springer
13 years 9 months ago
Secondary Emotions Deduction from Context
— Human centred services are increasingly common in the market of mobile devices. However, affective aware services are still scarce. In turn, the recognition of secondary emotio...
Kuderna-Iulian Benta, Marcel Cremene, Nicoleta Ram...