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FlexBFS: a parallelism-aware implementation of breadth-first search on GPU., , , , , , , and . PPoPP, page 279-280. ACM, (2012)ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis., , , , , , , and . MICRO, page 268-282. ACM, (2023)Throughput optimization for streaming applications on CPU-FPGA heterogeneous systems., , , , and . ASP-DAC, page 488-493. IEEE, (2017)POSTER: RadiK: Scalable Radix Top-K Selection on GPUs., , , , , and . PPoPP, page 472-474. ACM, (2024)Overcoming Data Transfer Bottlenecks in FPGA-based DNN Accelerators via Layer Conscious Memory Management., , and . DAC, page 125. ACM, (2019)RadiK: Scalable and Optimized GPU-Parallel Radix Top-K Selection., , , , , and . ICS, page 537-548. ACM, (2024)Frequency Improvement of Systolic Array-Based CNNs on FPGAs., , , , , and . ISCAS, page 1-4. IEEE, (2019)GNNear: Accelerating Full-Batch Training of Graph Neural Networks with near-Memory Processing., , , , and . PACT, page 54-68. ACM, (2022)Generating Systolic Array Accelerators With Reusable Blocks., , , and . IEEE Micro, 40 (4): 85-92 (2020)Overcoming Data Transfer Bottlenecks in DNN Accelerators via Layer-Conscious Memory Managment., , , , and . FPGA, page 120. ACM, (2019)