Dao-AILab / gemm-cublasLinks
☆23Updated 8 months ago
Alternatives and similar repositories for gemm-cublas
Users that are interested in gemm-cublas are comparing it to the libraries listed below
Sorting:
- Odysseus: Playground of LLM Sequence Parallelism☆79Updated last year
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆128Updated 6 months ago
- ☆133Updated 7 months ago
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆51Updated 6 months ago
- FlexAttention w/ FlashAttention3 Support☆27Updated last year
- The evaluation framework for training-free sparse attention in LLMs☆108Updated 2 months ago
- A bunch of kernels that might make stuff slower 😉☆73Updated this week
- ☆52Updated 7 months ago
- Transformers components but in Triton☆34Updated 7 months ago
- Benchmark tests supporting the TiledCUDA library.☆18Updated last year
- Flash-Muon: An Efficient Implementation of Muon Optimizer☆225Updated 6 months ago
- ☆116Updated 7 months ago
- Vortex: A Flexible and Efficient Sparse Attention Framework☆43Updated last month
- Quantized Attention on GPU☆44Updated last year
- Muon fsdp 2☆47Updated 4 months ago
- ☆262Updated 6 months ago
- Linear Attention Sequence Parallelism (LASP)☆88Updated last year
- Efficient Long-context Language Model Training by Core Attention Disaggregation☆73Updated last week
- Boosting 4-bit inference kernels with 2:4 Sparsity☆90Updated last year
- Personal solutions to the Triton Puzzles☆20Updated last year
- ☆43Updated 2 months ago
- ☆32Updated last year
- Ship correct and fast LLM kernels to PyTorch☆127Updated 2 weeks ago
- ☆15Updated 5 months ago
- ☆212Updated last month
- My attempt to improve the speed of the newton schulz algorithm, starting from the dion implementation.☆25Updated last month
- ☆102Updated 10 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆91Updated 3 months ago
- Awesome Triton Resources☆39Updated 8 months ago
- JAX bindings for Flash Attention v2☆102Updated last week