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A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud., , , , , , , , , and . ACM Trans. Reconfigurable Technol. Syst., 15 (3): 24:1-24:31 (2022)Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective., , , , , , , and . IEEE Trans. Computers, 72 (5): 1314-1328 (May 2023)NXgraph: An Efficient Graph Processing System on a Single Machine., , , , , and . CoRR, (2015)LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K., , , , , , , , , and 3 other author(s). CoRR, (2024)Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud., , , , , , , and . FCCM, page 102-110. IEEE, (2020)FPGP: Graph Processing Framework on FPGA A Case Study of Breadth-First Search., , , and . FPGA, page 105-110. ACM, (2016)CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling., , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (12): 4883-4896 (December 2023)Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture., , , , , and . DATE, page 1-6. IEEE, (2023)History-Detr: Optimize Query Initialization Strategy by Using Historical Information and Kinematics., , , and . MMAsia, page 4:1-4:7. ACM, (2023)Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation., , , , , , , , , and . DAC, page 1-6. IEEE, (2023)