Global addressing of shared data simplifies parallel programming and complements message passing models commonly found in distributed memory machines. A number of programming sys...
Beng-Hong Lim, Chi-Chao Chang, Grzegorz Czajkowski...
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
We review chessboard distributions for modeling partially specified finite-dimensional random vectors. Chessboard distributions can match a given set of marginals, a given covaria...
In contrast to traditional terascale simulations that have known, fixed data inputs, dynamic data-driven (DDD) applications are characterized by unknown data and informed by dynam...
Volkan Akcelik, George Biros, Andrei Draganescu, J...
Background: Protein structure analysis and comparison are major challenges in structural bioinformatics. Despite the existence of many tools and algorithms, very few of them have ...