84 citations · 296 across the 19 of their papers we have counts for
5 papers · 1 filter
Leveraging Special-Purpose Hardware for Local Search Heuristics
Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal +3
As we approach the physical limits predicted by Moore's law, a variety of specialized hardware is emerging to tackle specialized tasks in different domains. Within combinatorial op…
Multilevel Combinatorial Optimization Across Quantum Architectures
Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Christian F. A. Negre +3
Emerging quantum processors provide an opportunity to explore new approaches for solving traditional problems in the post Moore's law supercomputing era. However, the limited numbe…
Centralities for Networks with Consumable Resources
Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur A. Chowdhury +1
Identification of influential nodes is an important step in understanding and controlling the dynamics of information, traffic and spreading processes in networks. As a result, a n…
Multilevel Graph Partitioning for Three-Dimensional Discrete Fracture Network Flow Simulations
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric Hagberg +5
We present a topology-based method for mesh-partitioning in three-dimensional discrete fracture network (DFN) simulations that take advantage of the intrinsic multi-level nature of…
Detecting Multiple Communities Using Quantum Annealing on the D-Wave System
Christian F. A. Negre, Hayato Ushijima-Mwesigwa, Susan M. Mniszewski
A very important problem in combinatorial optimization is partitioning a network into communities of densely connected nodes; where the connectivity between nodes inside a particul…