AUGER: A Multi-Objective Design Space Exploration Framework for CGRAs
Author:
Affiliation:
1. Fudan University,State Key Laboratory of Integrated Chips and Systems,Shanghai,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10415908/10416087/10416098.pdf?arnumber=10416098
Reference37 articles.
1. Variable pipeline structure for Coarse Grained Reconfigurable Array CMA
2. A 2.92-Gb/s/W and 0.43-Gb/s/MG Flexible and Scalable CGRA-Based Baseband Processor for Massive MIMO Detection
3. Specializing CGRAs for Light-Weight Convolutional Neural Networks
4. REVAMP: a systematic framework for heterogeneous CGRA realization
5. OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs
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