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Learning Instruction Scheduling Heuristics from Optimal Data
(University of Waterloo, 2006)
The development of modern pipelined and multiple functional unit processors has increased the available instruction level parallelism. In order to fully utilize these resources, compiler writers spend large amounts of ...
The Power Landmark Vector Learning Framework
(University of Waterloo, 2008-05-12)
Kernel methods have recently become popular in bioinformatics machine learning. Kernel methods allow linear algorithms to be applied to non-linear learning situations. By using kernels, non-linear learning problems can ...
Training of Template-Specific Weighted Energy Function for Sequence-to-Structure Alignment
(University of Waterloo, 2008-09-26)
Threading is a protein structure prediction method that uses a library of template protein structures in the following steps: first the target sequence is matched to the template library and the best template structure ...