[FEA] Benchmark DAQIRI on DGX Spark (Python)
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Nobody has claimed this yet.
documentation
- Dominant language
- C++
- Stars
- 36
- Forks
- 11
- Avg merge
- 3d 4h
- Merged PRs (30d)
- 25
Description
Describe the solution you'd like
Backend - DPDK, HDS
- Default yaml config file + FFT
- Default yaml config file + GEMM
Backend - RoCE
- Default yaml config file + FFT
- Default yaml config file + GEMM
Show:
- Total data rate
- Total packets sent
- Total packets received
- Total dropped
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the DAQIRI benchmarking entry point and the default YAML configuration files for the DPDK/HDS and RoCE backends. Run the existing benchmark workflow on DGX Spark, then verify FFT and GEMM results report total data rate, packets sent, packets received, and dropped packets for each backend.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, python, yaml
- Domain
- networking, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 42/100