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A hierarchical adaptive multi-task reinforcement learning framework for multiplier circuit design
Z Wang, J Wang, D Zuo, J Yunjie, X ** for coarse-grained reconfigurable architectures with reinforcement learning and monte-carlo tree search
Coarse-grained reconfigurable architecture (CGRA) has become a promising candidate for
data-intensive computing due to its flexibility and high energy efficiency. CGRA compilers …
data-intensive computing due to its flexibility and high energy efficiency. CGRA compilers …
Lisa: Graph neural network based portable map** on spatial accelerators
Spatial accelerators, such as Coarse-Grained Reconfigurable Arrays (CGRA), provide a
promising pathway to scale the performance and power efficiency of computing systems …
promising pathway to scale the performance and power efficiency of computing systems …
Opencgra: Democratizing coarse-grained reconfigurable arrays
Reconfigurable architectures are today experiencing a renewed interest for their ability to
provide specialization without sacrificing the capability to adapt to disparate workloads …
provide specialization without sacrificing the capability to adapt to disparate workloads …
ML-CGRA: An integrated compilation framework to enable efficient machine learning acceleration on CGRAs
Coarse-Grained Reconfigurable Arrays (CGRAs) can achieve higher energy-efficiency than
general-purpose processors and accelerators or fine-grained reconfigurable devices, while …
general-purpose processors and accelerators or fine-grained reconfigurable devices, while …
Twenty years of automated methods for map** applications on CGRA
KJM Martin - 2022 IEEE international parallel and distributed …, 2022 - ieeexplore.ieee.org
Coarse-Grained Reconfigurable Architectures (CGRAs) emerged about 30 years ago. The
very first CGRAs were programmed manually. Fortunately, some compilation approaches …
very first CGRAs were programmed manually. Fortunately, some compilation approaches …