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GRNN: Low-Latency and Scalable RNN Inference on GPUs., , , , and . EuroSys, page 41:1-41:16. ACM, (2019)GraphZero: A High-Performance Subgraph Matching System., , , , and . ACM SIGOPS Oper. Syst. Rev., 55 (1): 21-37 (2021)ELIχR: Eliminating Computation Redundancy in CNN-Based Video Processing., , , , and . RSDHA@SC, page 34-44. IEEE, (2021)GraphZero: Breaking Symmetry for Efficient Graph Mining., , , , and . CoRR, (2019)AutoMine: harmonizing high-level abstraction and high performance for graph mining., and . SOSP, page 509-523. ACM, (2019)Taming a Graph Hairball: Local Exploration in a Global Context., , and . Business and Consumer Analytics: New Ideas, Springer, (2019)Dryadic: Flexible and Fast Graph Pattern Matching at Scale., , , , , , , , and . PACT, page 289-303. IEEE, (2021)FLARE: Flexibly Sharing Commodity GPUs to Enforce QoS and Improve Utilization., , , , and . LCPC, volume 11998 of Lecture Notes in Computer Science, page 32-48. Springer, (2019)Laius: Towards latency awareness and improved utilization of spatial multitasking accelerators in datacenters., , , , , , , and . ICS, page 58-68. ACM, (2019)