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EUROPAR
2011
Springer
12 years 8 months ago
A Fully Empirical Autotuned Dense QR Factorization for Multicore Architectures
: Tuning numerical libraries has become more difficult over time, as systems get more sophisticated. In particular, modern multicore machines make the behaviour of algorithms hard ...
Emmanuel Agullo, Jack Dongarra, Rajib Nath, Stanim...
JMLR
2012
11 years 11 months ago
Deep Learning Made Easier by Linear Transformations in Perceptrons
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
Tapani Raiko, Harri Valpola, Yann LeCun
ISCA
2012
IEEE
244views Hardware» more  ISCA 2012»
11 years 11 months ago
Scheduling heterogeneous multi-cores through performance impact estimation (PIE)
Single-ISA heterogeneous multi-core processors are typically composed of small (e.g., in-order) power-efficient cores and big (e.g., out-of-order) high-performance cores. The eff...
Kenzo Van Craeynest, Aamer Jaleel, Lieven Eeckhout...
CVPR
2005
IEEE
14 years 11 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
PPOPP
2009
ACM
14 years 9 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle