SANKARAN, Ramanan, ANGEL, Jordan und BROWN, W. Michael, 2015. Genetic algorithm based task reordering to improve the performance of batch scheduled massively parallel scientific applications. Concurrency & Computation: Practice & Experience. 10 Dezember 2015. Vol. 27, no. 17, p. 4763-4783. DOI 10.1002/cpe.3457.
Elsevier - Harvard (with titles)Sankaran, R., Angel, J., Brown, W.M., 2015. Genetic algorithm based task reordering to improve the performance of batch scheduled massively parallel scientific applications. Concurrency & Computation: Practice & Experience 27, 4763-4783. https://doi.org/10.1002/cpe.3457
American Psychological Association 7th editionSankaran, R., Angel, J., & Brown, W. M. (2015). Genetic algorithm based task reordering to improve the performance of batch scheduled massively parallel scientific applications. Concurrency & Computation: Practice & Experience, 27(17), 4763-4783. https://doi.org/10.1002/cpe.3457
Springer - Basic (author-date)Sankaran R, Angel J, Brown WM (2015) Genetic algorithm based task reordering to improve the performance of batch scheduled massively parallel scientific applications.. Concurrency & Computation: Practice & Experience 27:4763-4783. https://doi.org/10.1002/cpe.3457
Juristische Zitierweise (Stüber) (Deutsch)Sankaran, Ramanan/ Angel, Jordan/ Brown, W. Michael, Genetic algorithm based task reordering to improve the performance of batch scheduled massively parallel scientific applications., Concurrency & Computation: Practice & Experience 2015, 4763-4783.