PathSeeker: A Fast Mapping Algorithm for CGRAs

Author:

Balasubramanian Mahesh1,Shrivastava Aviral1

Affiliation:

1. Make Programming Simple Lab, Arizona State University,Tempe,AZ

Funder

National Science Foundation

Publisher

IEEE

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CREPE: Concurrent Reverse-Modulo-Scheduling and Placement for CGRAs;IEEE Transactions on Parallel and Distributed Systems;2024-07

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. Mapping Enumeration for Multi-Context CGRAs Using Zero-Suppressed Binary Decision Diagrams;2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM);2024-05-05

4. 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

5. GRAFT: GNN-based Adaptive Framework for Efficient CGRA Mapping;2023 International Conference on Field Programmable Technology (ICFPT);2023-12-12

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