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Scalable SIMD-Efficient Graph Processing on GPUs., , and . PACT, page 39-50. IEEE Computer Society, (2015)In-Register Parameter Caching for Dynamic Neural Nets with Virtual Persistent Processor Specialization., , , and . MICRO, page 377-389. IEEE Computer Society, (2018)Dyna: toward a self-optimizing declarative language for machine learning applications., , , , and . MAPL@PLDI, page 8-17. ACM, (2017)Efficient warp execution in presence of divergence with collaborative context collection., , and . MICRO, page 204-215. ACM, (2015)CuMAS: Data Transfer Aware Multi-Application Scheduling for Shared GPUs., , , and . ICS, page 31:1-31:12. ACM, (2016)CuSha: vertex-centric graph processing on GPUs., , , and . HPDC, page 239-252. ACM, (2014)Enabling Work-Efficiency for High Performance Vertex-Centric Graph Analytics on GPUs., , , and . IA3@SC, page 11:1-11:4. ACM, (2017)RegMutex: Inter-Warp GPU Register Time-Sharing., , , , and . ISCA, page 816-828. IEEE Computer Society, (2018)Eliminating Intra-Warp Load Imbalance in Irregular Nested Patterns via Collaborative Task Engagement., , , and . IPDPS, page 524-533. IEEE Computer Society, (2016)LightPlay: Efficient Replay with GPUs., , , and . LCPC, volume 8967 of Lecture Notes in Computer Science, page 332-347. Springer, (2014)