The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Hard-to-predict branches depending on longlatency cache-misses have been recognized as a major performance obstacle for modern microprocessors. With the widening speed gap between...
Hongliang Gao, Yi Ma, Martin Dimitrov, Huiyang Zho...
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Profiling can accurately analyze program behavior for select data inputs. We show that profiling can also predict program locality for inputs other than profiled ones. Here loc...
Reuse distance analysis has been proved promising in evaluating and predicting data locality for programs written in Fortran or C/C++. But its effect has not been examined for ap...