This paper presents Morpher, an open-source endto-end compilation and simulation
framework, to assist design space exploration and application-level developments of CGRA …

As the increasing complexity of Neural Network (NN) models leads to high demands for
computation, AMD introduces a heterogeneous programmable system-on-chip (SoC), ie …

Emerging communication technologies, such as 5G and beyond, have introduced diverse
requirements that demand high performance and energy efficiency at all levels …

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 …

Coarse-grained reconfigurable architectures (CGRAs) have emerged as promising
accelerators due to their high flexibility and energy efficiency. However, existing open …

Coarse-grained reconfigurable arrays (CGRAs) are domain-specific devices promising both
the flexibility of FPGAs and the performance of ASICs. However, with restricted domains …

Coarse-Grained Reconfigurable Arrays (CGRA) are promising edge accelerators due to the
outstanding balance in flexibility, performance, and energy efficiency. Classic CGRAs …

Coarse-grained reconfigurable arrays (CGRAs) are promising design choices in
computation-intensive domains, since they can strike a balance between energy efficiency …

Convolutional neural networks (CNNs)-based inference is a quintessential component in
mobile machine learning applications. Privacy and real-time response requirements require …

Coarse-grained reconfigurable array (CGRA) has gained popularity in compute-intensive
applications because of its flexibility and energy-efficiency. When mapping the data flow …