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Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences
book

Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences

by Albert Y. Zomaya, Fikret Ercal, Stephan Olariu
October 2000
Intermediate to advanced
288 pages
9h 22m
English
Wiley-Interscience
Content preview from Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences

REFERENCES

1. I. Ahmad and M. K. Dhodhi, Multiprocessor scheduling in a genetic paradigm. Parallel Computing, 22(3):395–406, March 1996.

2. I. Ahmad and M. K. Dhodhi, Task assignment using a problem-space genetic algorithm. Concurrenty: Practice and Experience, 7(5):411–428, Aug. 1995.

3. I. Ahmad and Y.-K. Kwok, Optimal and near-optimal allocation of precedence-constrained tasks to parallel processors: Defying the high complexity using effective search technique. In Proceedings of 1998 International Conference on Parallel Processing, pp. 424–131, IEEE Computer Society, Aug. 1998.

4. I. Ahmad and Y.-K. Kwok, On exploiting task duplication parallel program scheduling. IEEE Trans. Parallel and Distributed Sys., 9(9):872–892, Sept 1998.

5. I. Ahmad and Y.-K. Kwok, On parallelizing the multiprocessor scheduling problem. IEEE Trans. Parallel and Distributed Sys., 10(4):414–432, April 1999.

6. W. Atmar, Notes on simulation of evolution. IEEE Trans. Neural Networks, 5(1): 130–147, Jan. 1994.

7. E. G. Coffman, Computer and Job-Shop Scheduling Theory, Wiley, New York, 1976.

8. M. Cosnard and M. Loi, Automobile task graph generation techniques. Parallel Processing Lett., 5(4):527–538, Dec. 1995.

9. L. D. Davis, ed.. The Handbook of Genetic Algorithms, Van N. Reinhold, New York, 1991.

10. M. K. Dhodhi, F. H. Hielscher, R. H. Storer, and J. Bhasker, Datapath synthesis using a problem-space genetic algorithm. IEEE Trans. Computer-Aided Design of Integrated Circuits and Sys., 14(8):934–944, ...

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Publisher Resources

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