DeepLink-org / DIOPILinks
☆72Updated 8 months ago
Alternatives and similar repositories for DIOPI
Users that are interested in DIOPI are comparing it to the libraries listed below
Sorting:
- ☆68Updated 9 months ago
- ☆149Updated 6 months ago
- A benchmark suited especially for deep learning operators☆42Updated 2 years ago
- ☆139Updated last year
- GLake: optimizing GPU memory management and IO transmission.☆471Updated 4 months ago
- ☆128Updated 7 months ago
- FlagGems is an operator library for large language models implemented in the Triton Language.☆635Updated this week
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆823Updated last week
- Development repository for the Triton-Linalg conversion☆190Updated 5 months ago
- learning how CUDA works☆291Updated 5 months ago
- Examples of CUDA implementations by Cutlass CuTe☆214Updated last month
- ☆59Updated 8 months ago
- ☆474Updated last week
- AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and ver…☆254Updated last month
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆99Updated 3 weeks ago
- Yinghan's Code Sample☆340Updated 3 years ago
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆103Updated 2 months ago
- how to learn PyTorch and OneFlow☆445Updated last year
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆445Updated 10 months ago
- ☆137Updated last year
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆474Updated last year
- A model compilation solution for various hardware☆439Updated last week
- A Easy-to-understand TensorOp Matmul Tutorial☆369Updated 10 months ago
- ☆128Updated 7 months ago
- FlagScale is a large model toolkit based on open-sourced projects.☆333Updated this week
- Disaggregated serving system for Large Language Models (LLMs).☆654Updated 3 months ago
- Materials for learning SGLang☆515Updated 2 weeks ago
- A tutorial for CUDA&PyTorch☆150Updated 6 months ago
- A simple high performance CUDA GEMM implementation.☆392Updated last year
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆61Updated last year