Automatic discovery of parallelism: A tool and an experiment
Michael Burke, Ron Cytron, et al.
PPEALS 1988
Recent advances in languages, software design methodologies, and architecture have prompted the development of improved compile time methods for analyzing the effects of procedure calls, pointer references, and array accesses. Such sophistication, however, generally implies that compilers and programming environments will experience a corresponding increase in the volume of analysis information, which may be difficult to use efficiently. In this paper, we consider the practical accommodation of such information. Our results show how to engineer a compiler such that its optimization phase takes time proportional to the benefit, rather than the size, of such information. © 1994 IEEE.
Michael Burke, Ron Cytron, et al.
PPEALS 1988
Michael Burke, Ron Cytron, et al.
The Journal of Supercomputing
Vasanth Bala, Jeanne Ferrante, et al.
ACM SIGPLAN Notices
Robert O'Callahan, Jong-Deok Choi
PPoPP 2003