An improved two-step algorithm for task and data parallel scheduling in distributed memory machines

Author:

Bansal Savina,Kumar Padam,Singh Kuldip

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference26 articles.

1. K.P. Belkhale, P. Banerjee, A scheduling algorithm for parallelizable dependent tasks, in: Proc. of Int. Parallel Processing Symposium, Anaheim, CA, April 1991, pp. 500–506.

2. K.P. Belkhale, P. Banerjee, An approximation algorithm for the partitionable independent task scheduling problem, in: Proc. of 19th Int. Conference on Parallel Processing, Aug. St. Charles, IL, August 1990, pp. 72–75.

3. S. Chakrabarti, J. Demmel, K. Yelick, Modeling the benefits of mixed data and task parallelism, in:; Seventh Annual ACM Symposium on Parallel Algorithms and Architectures, CA, July 1995, pp. 74–83.

4. Models and scheduling algorithms for mixed data and task parallel programs;Chakrabarti;Journal of Parallel and Distributed Computing,1997

5. Fortran M: a language for modular parallel programming;Foster;Journal of Parallel and Distributed Computing,1995

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