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

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

With the slowing of Moore's law, computer architects have turned to domain-specific
hardware specialization to continue improving the performance and efficiency of computing …

Coarse-grained reconfigurable arrays (CGRAs), loosely defined as arrays of functional units
interconnected through a network-on-chip (NoC), provide higher flexibility than domain …

Coarse-Grained Reconfigurable Architectures (CGRAs) are promising solutions to achieve
more performance with the end of Moore's law. Thanks to word-level programmability, they …

Reconfigurable accelerators, like CGRAs and dataflow architectures, have come to
prominence for addressing data-processing problems. However, they are largely limited to …

Current systems hide data movement from software behind the load-store interface.
Software's inability to observe and respond to data movement is the root cause of many …

SCALO is the first distributed brain-computer interface (BCI) consisting of multiple wireless-
networked implants placed on different brain regions. SCALO unlocks new treatment options …

Coarse-grained reconfigurable architecture (CGRA) is a promising accelerator design
choice due to its high performance and power efficiency in the computation or data-intensive …

Image processing and machine learning applications benefit tremendously from hardware
acceleration. Existing compilers target either FPGAs, which sacrifice power and performance …