Document Type
Conference Proceeding
Publication Date
9-10-2008
Abstract
The ubiquity of multicore processors in commodity computing systems has raised a significant programming challenge for their effective use. An attractive but challenging approach is automatic parallelization of sequential codes. Although virtually all production C compilers have automatic shared-memory parallelization capability, it is rarely used in practice by application developers because of limited effectiveness. In this paper we describe our recent efforts towards developing an effective automatic parallelization system that uses a polyhedral model for data dependences and program transformations. ©2008 IEEE.
Publication Source (Journal or Book title)
IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
Recommended Citation
Bondhugula, U., Baskaran, M., Hartono, A., Krishnamoorthy, S., Ramanujam, J., Rountev, A., & Sadayappan, P. (2008). Towards effective automatic parallelization for multicore systems. IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM https://doi.org/10.1109/IPDPS.2008.4536401