A framework for determining useful parallelism
Frances Allen, Michael Burke, et al.
ICS 1988
This paper reports preliminary results from applying advanced techniques to the parallelization of sequential programs. Such techniques include interprocedural analysis and the identification of nested parallelism. These techniques have been proposed for exploiting the greater concurrency offered by multiprocessors as compared with vector architectures. The effectiveness of these techniques as applied to some popular numerical Fortran programs is examined. Although extrapolation is difficult, these preliminary results are encouraging indicators of the success of these techniques. © 1988, ACM. All rights reserved.
Frances Allen, Michael Burke, et al.
ICS 1988
Ron Cytron, Jeanne Ferrante, et al.
ACM TOPLAS
Michael Burke, Linda Torczon
ACM Transactions on Programming Languages and Systems (TOPLAS)
Ron Cytron, Jeanne Ferrante, et al.
POPL 1989