kuterd / opal_ptxLinks
Experimental GPU language with meta-programming
☆23Updated last year
Alternatives and similar repositories for opal_ptx
Users that are interested in opal_ptx are comparing it to the libraries listed below
Sorting:
- H-Net Dynamic Hierarchical Architecture☆79Updated last week
- ☆21Updated 6 months ago
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆129Updated 9 months ago
- Experiment of using Tangent to autodiff triton☆81Updated last year
- train with kittens!☆62Updated 10 months ago
- research impl of Native Sparse Attention (2502.11089)☆61Updated 7 months ago
- Collection of autoregressive model implementation☆86Updated 4 months ago
- Learn CUDA with PyTorch☆78Updated this week
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Updated 5 months ago
- working implimention of deepseek MLA☆44Updated 8 months ago
- Samples of good AI generated CUDA kernels☆90Updated 3 months ago
- High-Performance SGEMM on CUDA devices☆101Updated 8 months ago
- NanoGPT-speedrunning for the poor T4 enjoyers☆71Updated 4 months ago
- ☆89Updated last year
- 👷 Build compute kernels☆143Updated this week
- Load compute kernels from the Hub☆283Updated this week
- FlashRNN - Fast RNN Kernels with I/O Awareness☆97Updated 3 months ago
- DeMo: Decoupled Momentum Optimization☆190Updated 9 months ago
- ☆32Updated last year
- How to ensure correctness and ship LLM generated kernels in PyTorch☆58Updated this week
- PCCL (Prime Collective Communications Library) implements fault tolerant collective communications over IP☆120Updated last week
- SIMD quantization kernels☆87Updated 2 weeks ago
- supporting pytorch FSDP for optimizers☆84Updated 9 months ago
- Write a fast kernel and run it on Discord. See how you compare against the best!☆57Updated this week
- ☆12Updated last year
- RWKV-7: Surpassing GPT☆95Updated 10 months ago
- Focused on fast experimentation and simplicity☆75Updated 8 months ago
- Learning about CUDA by writing PTX code.☆135Updated last year
- ☆88Updated last year
- Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"☆84Updated last week