Under the scope of the AMD University Program, the Heterogeneous Accelerated Compute Clusters (HACCs) is a special initiative to support novel research in adaptive compute acceleration for high-performance computing (HPC). The scope of the program is broad and encompasses systems, architecture, tools, and applications.
HACCs are equipped with the latest AMD hardware and software technologies for adaptive compute acceleration research. Each cluster is specially configured to enable some of the world’s foremost academic teams to conduct state-of-the-art HPC research.
Five HACCs have been established at some of world’s most prestigious universities. The first of them was assigned to Prof. Dr. Gustavo Alonso of the Institute for Platform Computing - Systems Group (SG) at the Swiss Federal Institute of Technology Zurich (ETH Zurich, ETHZ) in 2020.
- Account renewal
- Acknowledgment and citation
- Booking system
- Features
- First steps
- Get started
- HACC Development (hdev)
- Infrastructure
- License
- Operating the cluster
- Playbooks 🔒
- Releases
- Technical support
- Usage guidance
- Vocabulary
- Who does what
The table below provides an overview of the current ETHZ-HACC setup across different releases:
Cluster |
Ubuntu |
Vivado |
HIP/ROCm |
|||
|---|---|---|---|---|---|---|
| 20.04 | 22.04 | 2023.2 | 2024.1 | 6.2.2 | 6.3.3 | |
BUILD |
● | ● | ● | |||
U50D |
● | ● | ||||
U55C |
● | ● | ||||
V80 |
● | ● | ||||
ALVEO BOXES |
● | ● | ||||
HACC BOXES |
● | ● | ● | ○ | ||
| ○ Existing release. | ||||||
| ● Existing release installed on the cluster. | ||||||
Ubuntu releases are according to IT Service Group of the Department of Computer Science release schedule.
AMD's tool versioning for ASoCs and FPGAs follows XRT’s release schedule. All servers equipped with Alveo or Versal boards (referred to as deployment servers) are associated with a unique AMD software version. This includes XRT's Xilinx Board Utility (xbutil), Vivado, Vitis_HLS, and the flashable partitions (or base shell) running on the reconfigurable devices. Some deployment servers also feature Vitis installed. Pay attention to the welcome message, as it will indicate the installed tools and their locations.
Installed AMD Tools.
AMD has officially announced the end-of-life (EOL) for its Alveo U250 and U280 data center accelerator cards. As a consequence, we will no longer update tools or provide support for these devices. The current tools will be frozen at version 2023.2 (running on Ubuntu 22.04), and no further updates will be released for these platforms. Users of the U250 and U280 are encouraged to plan for migration to alternative solutions within AMD's portfolio or other supported products. Please refer to the official AMD documentation and support channels for more details.
For GPU accelerators, HIP and ROCm tools versioning is according to HIP release schedule.
When utilizing the HACC, please adhere to the following guidelines:
-
Deployment servers: Utilize deployment servers exclusively for testing and verification purposes. Refrain from utilizing them for any software builds. Restrict your usage on these machines to Vitis and HIP runtime.
-
Software builds: For software building tasks, utilize the HACC BUILD cluster instead. This machine allows multiple users simultaneous access without requiring booking. Only resort to this node if you lack local access to suitable servers for running builds in your institute.
-
Tool installations: Users are only permitted to use preinstalled tools on the system. Avoid installing external tools without prior approval from the HACC manager. If utilizing PYNQ, you may install packages using pip3, ensuring the package is system-wide installed beforehand. For any special requirements, contact [email protected], and we will endeavor to accommodate your needs.
-
Lastly, ensure compliance with the Booking rules.
We encourage ETHZ-HACC users to acknowledge the support provided by AMD and ETH Zürich for their research in presentations, papers, posters, and press releases. Please use the following acknowledgment statement and citation.
This work was supported in part by AMD under the Heterogeneous Accelerated Compute Clusters (HACC) program (formerly known as the XACC program - Xilinx Adaptive Compute Cluster program)
@misc{moya2023hacc,
author = {Javier Moya, Matthias Gabathuler, Mario Ruiz, Gustavo Alonso},
title = {fpgasystems/hacc: ETHZ-HACC},
howpublished = {Zenodo},
year = {2023},
month = sep,
note = {\url{https://doi.org/10.5281/zenodo.8340448}},
doi = {10.5281/zenodo.8340448}
}
To get a printed copy of the cited resource, please follow this link.
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