Cluster optimization algorithm based on CPU and GPU hybrid architecture
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-021-03398-x.pdf
Reference21 articles.
1. Vidal, P., Alba, E., Luna, F.: Solving optimization problems using a hybrid systolic search on GPU plus CPU. Soft Comput. 21(12), 3227–3245 (2017)
2. Young, S., Lo, P., Hoffman, J., et al.: TH-AB-207A-05: a fully-automated pipeline for generating CT images across a range of doses and reconstruction methods. Med. Phys. 43(6), 3860–3860 (2016)
3. John, J., Rodrigues, P.: MOTCO: multi-objective Taylor crow optimization algorithm for cluster head selection in energy aware wireless sensor network. Mob. Netw. Appl. 24(5), 1509–1525 (2019)
4. Feng, Z., Zhai, J., He, B., et al.: Understanding co-running behaviors on integrated CPU/GPU architectures. IEEE Trans. Parallel Distrib. Syst. 28(3), 905–918 (2017)
5. Fursov, V.A., Goshin, Y.V., Kotov, A.P.: The hybrid CPU/GPU implementation of the computational procedure for digital terrain models generation from satellite images. Comput. Opt. 40(5), 721–728 (2016)
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