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INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing.

, , , , , and . CoRR, (2023)

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M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design., , , , , , , , and . NeurIPS, (2022)From Acceleration to Accelerating Acceleration: Modernizing the Accelerator Landscape using High-Level Synthesis., and . FCCM, page 236-238. IEEE, (2023)LightningSimV2: Faster and Scalable Simulation for High-Level Synthesis via Graph Compilation and Optimization., , and . FCCM, page 104-114. IEEE, (2024)Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts., , , , and . CoRR, (2023)INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing., , , , , and . CoRR, (2023)HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond., , , , , , , , , and . MLCAD, page 23:1-23:9. ACM, (2024)Ph.D. Project: Modernizing High-Level Hardware Design Workflows., and . FCCM, page 245-246. IEEE, (2024)LightningSim: Fast and Accurate Trace-Based Simulation for High-Level Synthesis., and . FCCM, page 1-11. IEEE, (2023)FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference., , , , and . HPCA, page 1099-1112. IEEE, (2023)