The AMD Xilinx University Program provides support for academics using AMD tools and technologies for teaching and research. Find out more about available course material and other educational resources, live and virtual training, and our donation program where university staff can apply for software and AMD Xilinx development boards designed for academia.
See below for details on the Heterogeneous Accelerated Compute Clusters (HACCs) which provides researchers with remote access to high end compute acceleration hardware.
Introducing the Heterogeneous Accelerated Compute Clusters
HACCs (formerly known as XACC, Xilinx Adaptive Compute Clusters) is a special initiative to support novel research in adaptive compute acceleration for high performance computing (HPC).
HACCs have been established at some of world’s most prestigious universities. HACCs are equipped with the latest AMD Xilinx hardware and software technologies for adaptive compute acceleration research.
Researchers are invited to join the program to get remote access to AMD Xilinx heterogeneous compute acceleration hardware.
Python Productivity for Adaptive Compute platforms
PYNQ is an open-source project from that makes it easier to use Adaptive Computing platforms.
Using the Python language and libraries, designers can exploit the benefits of programmable logic and microprocessors to build more capable and exciting electronic systems.
PYNQ can be used with Zynq, Zynq UltraScale+, Zynq RFSoC, Alveo accelerator boards and AWS-F1.
For more details, including how to get started, see www.pynq.io.
See the video for a short summary of the AMD Xilinx university program and what it offers.
Visit the AMD AECG Research & Open Source Projects YouTube channel for videos on Open Source and related topics including research presentations, HACCs technical talks, university program training and tutorials, examples and demonstrations.
The HiPEAC conference is the premier European forum for experts in computer architecture, programming models, compilers and operating systems for general-purpose, embedded and cyber-physical systems. Areas of focus and integration include safety-critical dependencies, cybersecurity, energy efficiency and machine learning.
For general or technical questions related to AMD Xilinx software, hardware and devices we recommend you post a question to the Xilinx support forum.
If you need other support you can contact XUP.
You can email XUP with any questions you have related to our University program. This may be for enquiries about software or IP licenses, XUP academic boards, teaching and training material and events, or a class or research project.
For PYNQ support, please post any technical question on the PYNQ Support forum.
You can also contact XUP for any other questions related to PYNQ.