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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.

Overview

Academic Boards

Academic boards

Find out more about low-cost XUP 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  Xilinx software and IP licenses, and AMD Xilinx 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 Xilinx 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, XUP and partner events including conferences, seminars, workshops and student competitions.

HACCs

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 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.

HACC-MAP

PYNQ

Python Productivity for Adaptive Compute platforms

xilinx-pynq-logo

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.

Videos

University Program Overview

See the video for a short summary of the AMD Xilinx 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.

Events

HIPEAC
HIPEAC 2023

January 16-18, 2023

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.

Support

General Support

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.

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.

PYNQ Support

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.