Spatial accelerators, such as Coarse-Grained Reconfigurable Arrays (CGRA), provide a promising pathway to scale the performance and power efficiency of computing systems …
Coarse-grained reconfigurable architectures (CGRAs) are expected to be used for embedded systems, Internet of Things (IoT) devices, and edge computing thanks to their …
Z Zhao, W Sheng, Q Wang, W Yin, P Ye… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Coarse-Grained Reconfigurable Architectures (CGRA) is a promising solution for accelerating computation intensive tasks due to its good trade-off in energy efficiency and …
M Canesche, M Menezes, W Carvalho… - … on Computer-Aided …, 2020 - ieeexplore.ieee.org
Coarse grain reconfigurable architectures (CGRAs) are an emerging hybrid computational architecture that has the parallel customization benefits of low-level logic devices, such as …
X Kong, Y Huang, J Zhu, X Man, Y Liu, C Feng… - Proceedings of the 50th …, 2023 - dl.acm.org
Coarse-grained reconfigurable architecture (CGRA) has become a promising candidate for data-intensive computing due to its flexibility and high energy efficiency. CGRA compilers …
Coarse-grained reconfigurable array (CGRA) is a promising class of spatial accelerator that offers high performance, energy efficiency, as well as flexibility to support a wide range of …
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 …
T Kojima, A Ohwada, H Amano - IEEE Transactions on Parallel …, 2021 - ieeexplore.ieee.org
Coarse-grained reconfigurable architectures (CGRAs) provide high energy efficiency with word-level programmability rather than bit-level ones such as FPGAs. The coarser …
SM Mohtavipour, HS Shahhoseini - Journal of Computational Science, 2023 - Elsevier
Nowadays, hardware architectures with various reconfiguration capabilities provide significant computational speedup using parallelism and concurrency features. However …