Coarse-Grained Reconfigurable Architectures (CGRAs) provide an excellent balance
between performance, energy efficiency, and flexibility. However, increasingly sophisticated …

Emerging sensing applications create an unprecedented need for energy efficiency in
programmable processors. To achieve useful multi-year deployments on a small battery or …

Streaming applications, consisting of several communicating kernels, are ubiquitous in the
embedded computing systems. The synchronous data flow (SDF) is commonly used to …

Optimising the quality-of-results (QoR) of circuits during logic synthesis is a formidable
challenge necessitating the exploration of exponentially sized search spaces. While expert …

Spatial accelerators, such as Coarse-Grained Reconfigurable Arrays (CGRA), provide a
promising pathway to scale the performance and power efficiency of computing systems …

Process technology-driven performance and energy efficiency improvements have slowed
down as we approach physical design limits. General-purpose manycore architectures …

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

CGRAs are well-suited as hardware accelerators due to power efficiency and
reconfigurability. However, their potential is limited by the inability of the compiler to map …

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 …