There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Data speculative optimization refers to code transformations that allow load and store instructions to be moved across potentially dependent memory operations. Existing research w...
We present GLinClosure, a graded extension of the well-known LinClosure algorithm. GLinClosure can be used to compute degrees of semantic entailment from sets of fuzzy attribute i...
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for reasoning about and exploiting parallelism in “regularâ€...
Keshav Pingali, Donald Nguyen, Milind Kulkarni, Ma...