psmarter / CUDA-Practice
CUDA编程练习项目-Hands-on CUDA kernels and performance optimization, covering GEMM, FlashAttention, Tensor Cores, CUTLASS, quantization, KV cache, NCCL, and profiling.
Why this job: topics: llm-inference, quantization
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 months ago
- Stars
- 114
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Cuda
- 98% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 3 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Cuda 98%
- CMake 1%
- C++ <1%
Topics
- cuda
- cuda-kernels
- cutlass
- flash-attention
- gemm
- gpu-programming
- high-performance-computing
- llm-inference
- nccl
- nsight-compute
- parallel-computing
- performance-optimization
Project record
- JobLocal LLMs
- StatusListed
- Commits41
- Forks11
- Watching13
- Stars in 28 days0
- CreatedMar 8, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026