Towards effective automatic parallelization for multicore systems

被引：0
|
作者：
Bondhugula, Uday [1 ]
Baskaran, Muthu. [1 ]
Hartonol, Albert [1 ]
Krishnamoorthy, Sriram [1 ]
Ramanujam, J. [2 ]
Rountev, Atanas [1 ]
Sadayappan, R. [1 ]
机构：
[1] Ohio State Univ, Dept Comp Sci & Engn, 2015 Neil Ave, Columbus, OH 43210 USA
[2] Louisiana State Univ, Ctr Comp & Technol, Dept Elect & Comp Engn, Baton Rouge, LA USA
来源：
2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8 | 2008年
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
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收藏
页码：2545 / +
页数：2
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