PathSeeker: A Fast Mapping Algorithm for CGRAs
Author:
Affiliation:
1. Make Programming Simple Lab, Arizona State University,Tempe,AZ
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9774496/9774497/09774520.pdf?arnumber=9774520
Reference26 articles.
1. REGIMap
2. Graph Minor Approach for Application Mapping on CGRAs
3. RAMP
4. Modulo graph embedding
5. Edge-centric modulo scheduling for coarse-grained reconfigurable architectures
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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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