A user-guided semi-automatic parallelization method and its implementation

Authors:
Chuliang Weng;Zhongguo Chen;Xinda Lu;Minglu Li;Yong Yin
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Venue:
APPT'05 Proceedings of the 6th international conference on Advanced Parallel Processing Technologies
Year:
2005

Citing 10
Cited 0

SUIF: an infrastructure for research on parallelizing and optimizing compilers

ACM SIGPLAN Notices
Computer aided parallelisation tools (CAPTools)—conceptual overview and performance on the parallelisation of structured mesh codes

Parallel Computing
On the Automatic Parallelization of the Perfect Benchmarks®

IEEE Transactions on Parallel and Distributed Systems
Maximizing parallelism and minimizing synchronization with affine partitions

Parallel Computing - Special issues on languages and compilers for parallel computers
Scalable Parallel Computing: Technology,Architecture,Programming

Scalable Parallel Computing: Technology,Architecture,Programming
The D editor: a new interactive parallel programming tool

Proceedings of the 1994 ACM/IEEE conference on Supercomputing
Parallel Programming with Polaris

Computer
ParAgent: A Domain-Specific Semi-automatic Parallelization Tool

HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Parallelizing Compilers: What Can Be Achieved?

HPCN Europe 1994 Proceedings of the nternational Conference and Exhibition on High-Performance Computing and Networking Volume II: Networking and Tools
Evaluation of Automatic Parallelization Strategies for HPF Compilers

HPCN Europe 1996 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a user-guided semi-automatic parallelization method, which is based on code templates corresponding to parallel programming paradigms and the concept of meta-task independent with each other. As an implementation of this method, we develop the system Metaparallel, which is based on Java language and MPICH, and the framework of Metaparallel is discussed. At last, the parallelization flow is studied with a case. In addition, we test the usability of Metaparallel by the practical engineering problem.