Abstract
We study Parallel Task Scheduling \(Pm|size_j|C_{\max }\) with a constant number of machines. This problem is known to be strongly NP-complete for each \(m \ge 5\), while it is solvable in pseudo-polynomial time for each \(m \le 3\). We give a positive answer to the long-standing open question whether this problem is strongly NP-complete for \(m=4\). As a second result, we improve the lower bound of \(\frac{12}{11}\) for approximating pseudo-polynomial Strip Packing to \(\frac{5}{4}\). Since the best known approximation algorithm for this problem has a ratio of \(\frac{4}{3} + \varepsilon \), this result narrows the gap between approximation ratio and inapproximability result by a significant step. Both results are proven by a reduction from the strongly NP-complete problem 3-Partition.
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Acknowledgements
The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper. This work was in part supported by German Research Foundation (DFG) project JA 612/14-2.
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Henning, S., Jansen, K., Rau, M., Schmarje, L. (2018). Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing. In: Fomin, F., Podolskii, V. (eds) Computer Science – Theory and Applications. CSR 2018. Lecture Notes in Computer Science(), vol 10846. Springer, Cham. https://doi.org/10.1007/978-3-319-90530-3_15
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