The AMD 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 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.


Academic Boards

Academic boards

Find out more about low-cost FPGA and SoC academic boards that are designed for classroom teaching and research projects.

Donation Program

Donation program

University staff are invited to apply for a donation of  AMD software and IP licenses, and AMD hardware including FPGA, Zynq, Zynq Ultrascale+, RFSoC, Alveo and Versal accelerator boards.

Teaching and training resources

Training and teaching resources

The university program host free to attend training courses and tutorials on the latest AMD tools and technologies, with the source material also available for educators to re-use in their teaching.

XUP Competitions

Competitions and other events

Find out about AMD, University Progam and partner events including conferences, seminars, workshops and student competitions.


Introducing the Heterogeneous Accelerated Compute Clusters

The Heterogeneous Accelerated Compute Clusters (HACCs) 

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 hardware and software technologies for adaptive compute acceleration research.   

Researchers are invited to join the program to get remote access to AMD 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


University Program Overview

See the video for a short summary of the AMD university program and what it offers.

Research & Open Source Projects

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.


FCCM 2023
FCCM 2023

May 8-11, 2023

The IEEE Symposium on Field-Programmable Custom Computing Machines is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features and capabilities of FPGAs and other reconfigurable hardware.

ISCA 2023

June 17-21, 2023

The International Symposium on Computer Architecture (ISCA) is the premier forum for new ideas and experimental results in computer architecture. The conference specifically seeks particularly forward-looking and novel submissions.


General Support

For general or technical questions related to AMD software, hardware and devices we recommend you post a question to the AMD support forum.

If you need other support contact the AMD Univeristy Program.


Email us with questions you have related to our university program.

This may be for enquiries about software or IP licenses, academic boards, teaching and training material and events, a class or a research project.

PYNQ Support

For PYNQ support, please post any technical question on the PYNQ Support forum.

Contact the AMD University Program with any other questions related to PYNQ.