Author:
Anderson Jason,Beidas Rami,Chacko Vimal,Hsiao Hsuan,Ling Xiaoyi,Ragheb Omar,Wang Xinyuan,Yu Tianyi
Cited by
20 articles.
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1. MLIR-to-CGRA: A Versatile MLIR-Based Compiler Framework for CGRAs;2024 IEEE 35th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2024-07-24
2. HierCGRA: A Novel Framework for Large-scale CGRA with Hierarchical Modeling and Automated Design Space Exploration;ACM Transactions on Reconfigurable Technology and Systems;2024-05-10
3. E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02
4. FDRA: A Framework for a Dynamically Reconfigurable Accelerator Supporting Multi-Level Parallelism;ACM Transactions on Reconfigurable Technology and Systems;2024-01-27
5. A CGRA Front-end Compiler Enabling Extraction of General Control and Dedicated Operators;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22