|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
Practical Multiprocessor Scheduling Algorithms for Efficient Parallel Processing
November 1984 (vol. 33 no. 11)
pp. 1023-1029
| ASCII Text | x | ||
| H. Kasahara, S. Narita, "Practical Multiprocessor Scheduling Algorithms for Efficient Parallel Processing," IEEE Transactions on Computers, vol. 33, no. 11, pp. 1023-1029, November, 1984. | |||
| BibTex | x | ||
| @article{ 10.1109/TC.1984.1676376, author = {H. Kasahara and S. Narita}, title = {Practical Multiprocessor Scheduling Algorithms for Efficient Parallel Processing}, journal ={IEEE Transactions on Computers}, volume = {33}, number = {11}, issn = {0018-9340}, year = {1984}, pages = {1023-1029}, doi = {http://doi.ieeecomputersociety.org/10.1109/TC.1984.1676376}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Computers TI - Practical Multiprocessor Scheduling Algorithms for Efficient Parallel Processing IS - 11 SN - 0018-9340 SP1023 EP1029 EPD - 1023-1029 A1 - H. Kasahara, A1 - S. Narita, PY - 1984 KW - task graph KW - This paper describes practical optimization/ approximation algorithms for scheduling a set of partially ordered computational tasks onto a multiprocessor system so that the schedule length will be minimized. Since this problem belongs to the class of "strong" NP-hard problems KW - we must foreclose the possibility of constructing not only pseudopolynomial time optimization algorithms but also fully polynomial time approximation schemes unless P = NP. KW - Approximation KW - branch-and-bound method KW - heuristic algorithm KW - MIMD system KW - multiprocessor scheduling algorithm KW - optimization KW - parallel processing KW - strong NP-hard VL - 33 JA - IEEE Transactions on Computers ER - | |||
Index Terms:
task graph, This paper describes practical optimization/ approximation algorithms for scheduling a set of partially ordered computational tasks onto a multiprocessor system so that the schedule length will be minimized. Since this problem belongs to the class of "strong" NP-hard problems, we must foreclose the possibility of constructing not only pseudopolynomial time optimization algorithms but also fully polynomial time approximation schemes unless P = NP., Approximation, branch-and-bound method, heuristic algorithm, MIMD system, multiprocessor scheduling algorithm, optimization, parallel processing, strong NP-hard
Citation:
H. Kasahara, S. Narita, "Practical Multiprocessor Scheduling Algorithms for Efficient Parallel Processing," IEEE Transactions on Computers, vol. 33, no. 11, pp. 1023-1029, Nov. 1984, doi:10.1109/TC.1984.1676376
Usage of this product signifies your acceptance of the Terms of Use.

