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FANG: Fast and Efficient Successor-State Generation for Heuristic Optimization on GPUs.

, , and . ICA3PP (1), volume 11944 of Lecture Notes in Computer Science, page 223-241. Springer, (2019)

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High-Performance Simulations on GPUs Using Adaptive Time Steps., , and . ICA3PP (1), volume 12452 of Lecture Notes in Computer Science, page 369-385. Springer, (2020)Parallel Tracking and Reconstruction of States in Heuristic Optimization Systems on GPUs., , and . PDCAT, page 25-30. IEEE, (2019)Massively Parallel Rule-Based Interpreter Execution on GPUs Using Thread Compaction., , and . Int. J. Parallel Program., 48 (4): 675-691 (2020)Fast and Efficient Nearest Neighbor Search for Particle Simulations., , and . CGVC, page 55-63. Eurographics Association, (2019)CLAWS: Computational Load Balancing for Accelerated Neighbor Processing on GPUs using Warp Scheduling., , and . CGVC, page 53-61. Eurographics Association, (2020)MACSQ: Massively Accelerated DeepQ Learning on GPUs Using On-the-fly State Construction., , and . PDCAT, volume 13148 of Lecture Notes in Computer Science, page 383-395. Springer, (2021)FANG: Fast and Efficient Successor-State Generation for Heuristic Optimization on GPUs., , and . ICA3PP (1), volume 11944 of Lecture Notes in Computer Science, page 223-241. Springer, (2019)Optimized Coordination and Simulation for Industrial Human Robot Collaborations., , , , , , , and . WEBIST (Revised Selected Papers), volume 399 of Lecture Notes in Business Information Processing, page 44-68. Springer, (2019)