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PPOPP
2010
ACM
16 years 2 months ago
Model-driven autotuning of sparse matrix-vector multiply on GPUs
We present a performance model-driven framework for automated performance tuning (autotuning) of sparse matrix-vector multiply (SpMV) on systems accelerated by graphics processing...
Jee W. Choi, Amik Singh, Richard W. Vuduc

Publication
265views
16 years 1 months ago
Effective 2D-3D Medical Image Registration using Support Vector Machine
Registration of pre-operative 3D volume dataset and intra-operative 2D images gradually becomes an important technique to assist radiologists in diagnosing complicated diseases. In...
Wenyuan Qi, Lixu Gu
EUROSYS
2009
ACM
16 years 1 months ago
Predicting replicated database scalability from standalone database profiling
This paper develops analytical models to predict the throughput and the response time of a replicated database using measurements of the workload on a standalone database. These m...
Sameh Elnikety, Steven G. Dropsho, Emmanuel Cecche...
FOIKS
2008
Springer
16 years 1 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ICCD
2004
IEEE
128views Hardware» more  ICCD 2004»
16 years 1 months ago
Static Transition Probability Analysis Under Uncertainty
Deterministic gate delay models have been widely used to find the transition probabilities at the nodes of a circuit for calculating the power dissipation. However, with progress...
Siddharth Garg, Siddharth Tata, Ravishankar Arunac...
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