Open Hardware is open to full-time students and PhD candidates in Europe.
Please see the rulesfor a list of eligible countries.
There are four categories for 2019, "PHD" (PhD candidates), "Student" for undergraduate students (Bachelors, Masters students etc), "PYNQ" and the "Compute Acceleration" category.
Individual or teams of up to three people can enter in each category.
For the student category, all participants must be undergraduate students.
If one or more participants are PhD level, the team must enter the PhD category.
For the PYNQ and Compute Acceleration categories, individuals or PhD/student teams of up to three people can enter.
All registrations must be supported by a senior member of academic staff (project Advisor) who should be from the same institute.
PhD and Student category projects can be based on any FPGA or Zynq application.
PYNQ projects can be based on any application, but must use the PYNQ Python infrastructure.
Compute acceleration projects should be based on applications that accelerate cloud FPGA or local compute intensive applications.
Target hardware is expected to be a server with host CPU connected to a PCIe FPGA acceleration board such as the Xilinx VCU1525, or the Alveo U200/U250 boards and similar.
Compute Acceleration projects can cover any application, or a library that can be used with acceleration platforms in the cloud or on local hardware. Creating new libraries, or optimization of existing open source FPGA acceleration libraries would also be a suitable application for this category.
Two prizes will be awarded to the best projects in each of the PhD, and Student categories, and one prize will be awarded in the PYNQ and Acceleration category. i.e. 2x PhD prizes, 2x Student prizes, 1x PYNQ prize, 1x Acceleration prize. Additional prizes may be awarded at the discretion of the organiser.