One of the key future challenges for reconfigurable computing is to enable higher design
productivity and a more easy way to use reconfigurable computing systems for users that are …

The increase of size, capabilities, and speed of FPGAs enables the shared usage of
reconfigurable resources by multiple applications and even operating systems. While …

Emerging hybrid reconfigurable platforms tightly couple capable processors with high
performance reconfigurable fabrics. This promises to move the focus of reconfigurable …

Partial reconfiguration (PR) of FPGAs can be used to dynamically extend and adapt the
functionality of computing systems, swap** in and out HW tasks. To coordinate the on …

Reconfigurable architectures have found use in a wide range of application domains, but
mostly as static accelerators for computationally intensive functions. Commodity computing …

Dynamic and partial reconfiguration is a well-known technique to update the configuration of
a field programmable gate array (FPGA) at runtime. ** in and out HW tasks. To coordinate the on …

Operating systems for reconfigurable computing (RCOS) facilitate the usage of Field
Programmable Gate Arrays (FPGAs). RCOSes abstract from hardware details, utilise …

The PYNQ system (Python Productivity for Zynq) is notable for combining a monolithic
preconfigured bitstream, Ubuntu Linux, Python, and Jupyter notebooks to form an FPGA …