Array remapping are useful to many applications on distributed memory parallel machines. They are available in High Performance Fortran, a Fortran-based data-parallel language. This paper describes techniques to handle dynamic mappings through simple ...

Array data flow analysis is known to be crucial to the success of array privatization, one of the most important techniques for program parallelization. It is clear that array data flow analysis should be performed interprocedurally and symbolically, ...

Solving problems of large sizes is an important goal for parallel machines with multiple CPU and memory resources. In this paper, issues of efficient execution of overhead-sensitive parallel irregular computation under memory constraints are addressed. ...