☆48Nov 1, 2025Updated 8 months ago
Alternatives and similar repositories for hopper-gemm
Users that are interested in hopper-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:
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- TiledLower is a Dataflow Analysis and Codegen Framework written in Rust.☆13Nov 23, 2024Updated last year
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆19Updated this week
- ☆66Feb 15, 2026Updated 4 months ago
- Fastest kernels written from scratch☆583Sep 18, 2025Updated 9 months 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.
- ☆37Aug 7, 2025Updated 10 months ago
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆59Aug 12, 2024Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆82Aug 12, 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
- DeeperGEMM: crazy optimized version☆86May 5, 2025Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆115Jun 28, 2025Updated last year
- A Easy-to-understand TensorOp Matmul Tutorial☆441Mar 5, 2026Updated 4 months ago
- My tests and experiments with some popular dl frameworks.☆17Sep 11, 2025Updated 9 months ago
- Implement Flash Attention using Cute.☆108Dec 17, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- TiledKernel is a code generation library based on macro kernels and memory hierarchy graph data structure.☆19May 12, 2024Updated 2 years ago
- A practical way of learning Swizzle☆42Feb 3, 2025Updated last year
- ☆97Mar 26, 2025Updated last year
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆29Updated this week
- An Open Source Kepler GPU Assembler☆21Jan 23, 2017Updated 9 years ago
- ☆146Aug 18, 2025Updated 10 months ago
- ☆52May 19, 2025Updated last year
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆194Jan 28, 2025Updated last year
- 🎉My Collections of CUDA Kernels~☆11Jun 25, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆49Apr 15, 2024Updated 2 years ago
- A Triton JIT runtime and ffi provider in C++☆36May 27, 2026Updated last month
- Fast GPU based tensor core reductions☆12Jan 13, 2023Updated 3 years ago
- GPGPU-Sim 中文注释版代码,包含 GPGPU-Sim 模拟器的最新版代码,经过中文注释,以帮助中文用户更好地理解和使用该模拟器。☆29Dec 18, 2024Updated last year
- GEMV implementation with CUTLASS☆21Aug 21, 2025Updated 10 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆194Feb 11, 2026Updated 4 months ago
- ☆184May 11, 2026Updated last month
- ☆80Feb 5, 2026Updated 5 months ago
- APPy (Annotated Parallelism for Python) enables users to annotate loops and tensor expressions in Python with compiler directives akin to…☆29Mar 22, 2026Updated 3 months 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.
- ☆40Feb 28, 2020Updated 6 years ago
- Examples of CUDA implementations by Cutlass CuTe☆279Jul 1, 2025Updated last year
- Framework to reduce autotune overhead to zero for well known deployments.☆101Sep 19, 2025Updated 9 months ago
- This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.☆44Sep 29, 2025Updated 9 months ago
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆75Sep 8, 2024Updated last year
- ☆145Jun 6, 2026Updated last month
- GEMM and Winograd based convolutions using CUTLASS☆28Jul 15, 2020Updated 5 years ago