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I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization.

, , , , , , , , and . CoRR, (2022)

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O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning., , , , , , and . ICS, page 461-472. ACM, (2019)Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training., , , , , , , , , and . ICS, page 336-347. ACM, (2023)LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism., , , , , , and . ASAP, page 9-16. IEEE, (2019)Fully integrated FPGA molecular dynamics simulations., , , , , , , , , and 2 other author(s). SC, page 67:1-67:31. ACM, (2019)FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics., , , , , , , and . SC, page 98:1-98:14. ACM, (2023)Optimized Mappings for Symmetric Range-Limited Molecular Force Calculations on FPGAs., , , , , , , and . FPL, page 101-108. IEEE, (2022)FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks., , , , , , , , and . FCCM, page 1-2. IEEE, (2022)I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization., , , , , , , , and . CoRR, (2022)Upgrade of FPGA Range-Limited Molecular Dynamics to Handle Hundreds of Processors., , , , , , and . FCCM, page 142-151. IEEE, (2021)System-Level Modeling of GPU/FPGA Clusters for Molecular Dynamics Simulations., , , , , and . HPEC, page 1-8. IEEE, (2021)