8 citations · 8 across the 4 of their papers we have counts for
4 papers
CMD: An Integrated CGRA Framework with Cluster-Based Distributed Memory Design
Shangkun Li, Cheng Tan, Zeyu Li +6
Coarse-Grained Reconfigurable Arrays (CGRAs) are a promising solution for achieving high energy efficiency and reconfigurability across various application domains, but their perfo…
NEURA: A Unified and Retargetable Compilation Framework for Coarse-Grained Reconfigurable Architectures
Shangkun Li, Jinming Ge, Diyuan Tao +6
Coarse-Grained Reconfigurable Architectures (CGRAs) are a promising and versatile accelerator platform, offering a balance between the performance and efficiency of specialized acc…
TileLoom: Automatic Dataflow Planning for Tile-Based Languages on Spatial Dataflow Accelerators
Wei Li, Zhenyu Bai, Heru Wang +6
Spatial dataflow accelerators are a promising direction for next-generation computer systems because they can reduce the memory bottlenecks of traditional von Neumann machines such…
Enhancing CGRA Efficiency Through Aligned Compute and Communication Provisioning
Zhaoying Li, Pranav Dangi, Chenyang Yin +5
Coarse-grained Reconfigurable Arrays (CGRAs) are domain-agnostic accelerators that enhance the energy efficiency of resource-constrained edge devices. The CGRA landscape is diverse…