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Collaborative (CPU + GPU) algorithms for triangle counting and truss decomposition on the Minsky architecture: Static graph challenge: Subgraph isomorphism.

, , , , , and . HPEC, page 1-7. IEEE, (2017)

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Optimal and heuristic solutions for placing multiple finite-size rectangular facilities in an existing layout., and . Int. J. Prod. Res., 62 (1-2): 24-44 (January 2024)Optimal Placement of a Finite-Size Facility: A Computational Study of Sequential and Parallel Implementations., and . MIM, page 460-465. International Federation of Automatic Control, (2013)Tracking Multiple Maneuvering Targets Using Integer Programming and Spline Interpolation., and . FUSION, page 1293-1300. IEEE, (2018)Dominance rules for the optimal placement of a finite-size facility in an existing layout., , and . Comput. Oper. Res., (2014)Data association and graph analytical processing of hard and soft intelligence data., , , , and . FUSION, page 404-411. IEEE, (2013)Optimal placement of multiple finite-size rectangular facilities in an existing layout., and . Int. J. Prod. Res., 62 (1-2): 7-23 (January 2024)Triangle Counting and Truss Decomposition using FPGA., , , , , , , , , and . HPEC, page 1-7. IEEE, (2018)Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition., , , , , , and . HPEC, page 1-7. IEEE, (2018)Test and evaluation of data association algorithms in hard+soft data fusion., , and . FUSION, page 1-8. IEEE, (2014)RLT2-based Parallel Algorithms for Solving Large Quadratic Assignment Problems on Graphics Processing Unit Clusters., and . CoRR, (2017)