Automatic parallelization of general-purpose programs is still not possible in general in the presence of irregular data structures and complex control-flows. One promising strate...
Abstract. The technique of flattening nested data parallelism combines all the independent operations in nested apply-to-all constructs and generates large amounts of potential pa...
Daniel W. Palmer, Jan Prins, Siddhartha Chatterjee...
Abstract. Parallelizing a sequential algorithm—i.e., manually or automatically converting it into an equivalent parallel distributed algorithm—is an important problem. Ideally,...
Lei Pan, Ming Kin Lai, Michael B. Dillencourt, Lub...
The ability to dynamically adapt an unstructured grid (or mesh) is a powerful tool for solving computational problems with evolving physical features; however, an efficient parall...
Rupak Biswas, Leonid Oliker, Sajal K. Das, Daniel ...
A new coordination language for distributed data-parallel programs is presented, call SNet. The intention of SNet is to introduce advanced structuring techniques into a coordinatio...
Clemens Grelck, Sven-Bodo Scholz, Alexander V. Sha...