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FPGP: Graph Processing Framework on FPGA A Case Study of Breadth-First Search.

, , , and . FPGA, page 105-110. ACM, (2016)

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Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU., , , , , , , , and . CoRR, (2022)GraphSAR: a sparsity-aware processing-in-memory architecture for large-scale graph processing on ReRAMs., , , , and . ASP-DAC, page 120-126. ACM, (2019)A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS., , , , , and . ICCAD, page 1-9. IEEE, (2023)Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs., , , , and . ICCD, page 567-574. IEEE, (2021)NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring., , , , , and . ASP-DAC, page 645-650. ACM, (2023)An Order Sampling Processing-in-Memory Architecture for Approximate Graph Pattern Mining., , , , and . ACM Great Lakes Symposium on VLSI, page 357-362. ACM, (2020)GraphSDH: A General Graph Sampling Framework with Distribution and Hierarchy., , , and . HPEC, page 1-7. IEEE, (2020)A one-for-all and o(v log(v ))-cost solution for parallel merge style operations on sorted key-value arrays., , , , , , and . ASPLOS, page 669-682. ACM, (2022)Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better., , , , , , , , , and . CoRR, (2024)CogDL: An Extensive Toolkit for Deep Learning on Graphs., , , , , , , , , and 4 other author(s). CoRR, (2021)