Popular data mining methods support knowledge discovery from patterns that hold in binary relations. We study the generalization of association rule mining within arbitrary n-ary ...
A conceptually appealing approach to supporting a broad range of workloads is a system comprising many small cores that can be fused, on demand, into larger cores. We demonstrate ...
Information requirements analysis for data warehouse systems differs significantly from requirements analysis for conventional information systems. Based on interviews with projec...
A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying ha...
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn