Multiple GEMM operators are constructed with cutlass to support LLM inference.
☆20Aug 3, 2025Updated 11 months ago
Alternatives and similar repositories for cutlass_gemm
Users that are interested in cutlass_gemm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆31Jul 1, 2026Updated last week
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆47Jun 11, 2025Updated last year
- ☆22Aug 14, 2024Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Estimate MFU for DeepSeekV3☆26Jan 5, 2025Updated last year
- Created a simple neural network using C++17 standard and the Eigen library that supports both forward and backward propagation.☆11Jul 27, 2024Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆45Feb 27, 2025Updated last year
- Ongoing research training transformer models at scale☆19Updated this week
- ☆65Apr 26, 2025Updated last year
- Awesome code, projects, books, etc. related to CUDA☆38Jun 2, 2026Updated last month
- a simple API to use CUPTI☆10Aug 19, 2025Updated 10 months ago
- Use tensor core to calculate back-to-back HGEMM (half-precision general matrix multiplication) with MMA PTX instruction.☆13Nov 3, 2023Updated 2 years ago
- A practical way of learning Swizzle☆42Feb 3, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆193Jan 28, 2025Updated last year
- ☆12Mar 13, 2023Updated 3 years ago
- SGEMM optimization with cuda step by step☆23Mar 23, 2024Updated 2 years ago
- llama INT4 cuda inference with AWQ☆54Jan 20, 2025Updated last year
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆147Aug 18, 2020Updated 5 years ago
- Flash Attention in ~100 lines of CUDA (forward pass only)☆12Jun 10, 2024Updated 2 years ago
- Accelerate LLM preference tuning via prefix sharing with a single line of code☆52Jul 4, 2025Updated last year
- 替代spec官方的runspec脚本，可以运行在spec的命令前加上前缀命令，用于收集各种信息☆15Updated this week
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆37Sep 15, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆269Jul 11, 2024Updated last year
- Stable Diffusion in TensorRT 8.5+☆15Mar 19, 2023Updated 3 years ago
- SGLang Kernel Wheel Index☆24Updated this week
- ☕️ A vscode extension for netron, support *.pdmodel, *.nb, *.onnx, *.pb, *.h5, *.tflite, *.pth, *.pt, *.mnn, *.param, etc.☆14Jun 4, 2023Updated 3 years ago
- 方便扩展的Cuda算子理解和优化框架，仅用在学习使用☆18Jun 13, 2024Updated 2 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Jun 21, 2026Updated 2 weeks ago
- An experimental communicating attention kernel based on DeepEP.☆34Jul 29, 2025Updated 11 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆156May 10, 2025Updated last year
- TensorRT-in-Action 是一个 GitHub 代码库，提供了使用 TensorRT 的代码示例，并有对应 Jupyter Notebook。☆15Jun 1, 2023Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- LoRAFusion: Efficient LoRA Fine-Tuning for LLMs☆28Jul 2, 2026Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆17Jun 3, 2024Updated 2 years ago
- OneFlow Serving☆20Apr 10, 2025Updated last year
- High performance RMSNorm Implement by using SM Core Storage(Registers and Shared Memory)☆30Jan 22, 2026Updated 5 months ago
- ☆66Feb 15, 2026Updated 4 months ago
- Third-party test scripts and bug tracking for SCALE☆35Updated this week
- ☆184May 11, 2026Updated last month