A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
We provide a competitive analysis framework for online prefetching and buffer management algorithms in parallel I/O systems, using a read-once model of block references. This has ...
Rakesh D. Barve, Mahesh Kallahalla, Peter J. Varma...
Many applications of parallel I/O perform non-contiguous file accesses: instead of accessing a single (large) block of data in a file, a number of (smaller) blocks of data scatt...
We present an efficient and accurate gate sizing tool that employs a novel piecewise convex delay model, handling both rise and fall delays, for static CMOS gates. The delay model...