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Scalable SIMD-Efficient Graph Processing on GPUs., , and . PACT, page 39-50. IEEE Computer Society, (2015)Dyna: toward a self-optimizing declarative language for machine learning applications., , , , and . MAPL@PLDI, page 8-17. ACM, (2017)CuMAS: Data Transfer Aware Multi-Application Scheduling for Shared GPUs., , , and . ICS, page 31:1-31:12. ACM, (2016)Efficient warp execution in presence of divergence with collaborative context collection., , and . MICRO, page 204-215. ACM, (2015)In-Register Parameter Caching for Dynamic Neural Nets with Virtual Persistent Processor Specialization., , , and . MICRO, page 377-389. IEEE Computer Society, (2018)LightPlay: Efficient Replay with GPUs., , , and . LCPC, volume 8967 of Lecture Notes in Computer Science, page 332-347. Springer, (2014)Stadium Hashing: Scalable and Flexible Hashing on GPUs., , , and . PACT, page 63-74. IEEE Computer Society, (2015)Eliminating Intra-Warp Load Imbalance in Irregular Nested Patterns via Collaborative Task Engagement., , , and . IPDPS, page 524-533. IEEE Computer Society, (2016)High Performance Multilevel Graph Partitioning on GPU., , , and . HPCS, page 769-778. IEEE, (2019)CORF: Coalescing Operand Register File for GPUs., , , , and . ASPLOS, page 701-714. ACM, (2019)