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» Using Machine Learning to Guide Architecture Simulation
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IPPS
2010
IEEE
15 years 4 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
15 years 10 months 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
15 years 10 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
15 years 7 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
15 years 7 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...