Aalborg Supercomputer Klub
Aalborg University
Diagram
Hardware
Power monitoring
We will livestream and record footage of a wattmeter measuring the power usage of our cluster.
Hardware Table
| Item | Amount | Purpose | Expected Power Draw | Price |
|---|---|---|---|---|
| NVIDIA Jetson Orin Nano Super Developer Kit | 8 | Single-board computer | 200 W | $1,992.00 |
| UniFi Standard 24 PoE | 1 | Network switch | 50 W | $349.00 |
| 2x Amazon Basic microSDXC - 64 GB [1] | 2 | SD card (2x per unit) | N/A [2] | $78.25 |
| SanDisk Extreme microSDXC - 64 GB [1] | 4 | SD card | N/A [2] | $111.96 |
| PNY CS1030 250 GB [1] | 8 | SSD | N/A [2] | $569.88 |
| Meanwell UHP-350-12 | 1 | Power supply | N/A [3] | $80.94 |
Total: $2,612.15-2,991.82 [1]
Notes:
- It is to be determined whether we go with SSDs or SD cards. Total is shown for both options.
- This is attached to a node, and included in its power draw.
- This provides power to the nodes, and so is accounted for in their power draw.
Software
Strategy
Operating system: NVIDIA Jetson Linux 36.5 - Optimized for our hardware
MPI:
- NVIDIA HPC-X MPI - Open MPI implementation specifically designed for NVIDIA hardware
- Open MPI - Fallback
BLAS:
- cuBLAS - Can take advantage of GPUs through CUDA
- BLIS - Fallback, can build BLAS library specially optimized for our CPU
Compiler:
- nvcc - CUDA
- mpicc - MPI
- Clang - C/C++
Network file share: NFS - Gets the job done. Where speed is critical, files can be copied to each node.
Cluster management:
- Ansible - Declarative, consistent and idempotent configuration across nodes
- OpenSSH - Remote access
Benchmarks
Explain your initial strategy for completing the benchmarks.
- HPL: Run the NVIDIA HPC Benchmarks implementation of HPL.
- D-LLAMA: Try to port it to cuBLAS to run on the GPU with CUDA. Alternatively attempt to run it through Vulkan, and failing that, run it on the CPUs.
- MDTest: Run with local IO to optimally utilize disk performance and avoid network overhead.
- IQ-TREE: Optimize using the documentation on the IQ-TREE website.
Applications
Not sure what the difference is between this and “Benchmarks”.
Team Details
- Brian Ellingsgaard: Loves library interface design, array-oriented programming, and theoretical computer science related to group and information theory.
- Emil Kristensen Vorre: Enjoys programming with a purpose in mind. Knowledgeable about Linux.
- Sofie Finnes Øvreild: Well-experienced with Linux and focusing on learning tooling around superclusters. Some experience with traditional software development with C/C++.
- Tobias Sønder Nielsen: Experienced with Linux and basic networking. Interested in hardware and generally toying with computers.