☆20Aug 27, 2026Updated 2 months ago
Alternatives and similar repositories for CuTeDSL-Fully-OpenSourced
Users that are interested in CuTeDSL-Fully-OpenSourced are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Expert Specialization MoE Solution based on CUTLASS☆27Apr 14, 2026Updated 7 months ago
- TensorIR is a lightweight NVIDIA-owned MLIR compiler frontend for expressing tensor computations and lowering them to NVIDIA CUDA Tile IR…☆141Updated this week
- ☆12May 8, 2026Updated 6 months ago
- ☆27Feb 27, 2026Updated 8 months ago
- Code Implementation for OSCAR 2026 Workshop: Toward Sustainable GPU Modeling: Autonomous Micro-benchmarking with LLM Agents☆17Jun 28, 2026Updated 4 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- CuTeDSL tutorials, tools, autotuner, profiler, etc.☆47Jun 27, 2026Updated 4 months ago
- Flash-Flash KDA: H100-optimized Flash Kimi Delta Attention kernels☆24Jul 24, 2026Updated 3 months ago
- Some funny cute/cuteDSL code snippets☆35Mar 2, 2026Updated 8 months ago
- ☆18Jun 19, 2026Updated 4 months ago
- Fused MoE kernel☆24Oct 30, 2026Updated 2 weeks ago
- ☆20Updated this week
- ☆11Oct 28, 2024Updated 2 years ago
- GC MoE is a CuTe DSL implementation of FP8/FP4 mixture-of-experts inference with CUDA Green Contexts for NVIDIA Hopper and Blackwell GPUs…☆31Updated this week
- FlashTile is a CUDA Tile IR compiler that is compatible with NVIDIA's tileiras, targeting SM70 through SM121 NVIDIA GPUs.☆62Feb 6, 2026Updated 9 months ago
- 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.
- DLBlas: clean and efficient kernels☆46Nov 3, 2026Updated last week
- ☆18Mar 29, 2026Updated 7 months ago
- A practical way of learning Swizzle☆45Feb 3, 2025Updated last year
- Cute layout visualization☆45Jan 18, 2026Updated 9 months ago
- CUDA C++ syntax support & snippets for VSCode☆20Apr 1, 2021Updated 5 years ago
- SystemVerilog Implementations of CUDA/TensorCore/TPU GEMM Operations☆22Apr 12, 2026Updated 7 months ago
- Step-by-step GEMM optimization, one hardware feature at a time. High performance CuTeDSL kernels for H100, B200 and RTX 50s GPUs. This re…☆23May 14, 2026Updated 5 months ago
- High-performance Accelerated LLM Operators☆25Updated this week
- triton for dsa☆68Sep 20, 2026Updated last month
- 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.
- ☆11May 21, 2026Updated 5 months ago
- ☆23Aug 14, 2024Updated 2 years ago
- ☆48Nov 1, 2025Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆82Aug 12, 2024Updated 2 years ago
- GEMV implementation with CUTLASS☆21Aug 21, 2025Updated last year
- ☆123May 16, 2025Updated last year
- Github mirror of trition-lang/triton repo.☆207Updated this week
- Python3 auto-active verification library (migrated to an Intel project)☆24Apr 7, 2022Updated 4 years ago
- End-to-end Verified Polyhedral Compilation☆28Sep 7, 2026Updated 2 months 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.
- This repository contains the results and code for the MLPerf™ Training v3.0 benchmark.☆12Aug 10, 2023Updated 3 years ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆14Updated this week
- Humming is a high-performance, lightweight, and highly flexible JIT (Just-In-Time) compiled GEMM kernel library specifically designed for…☆364Updated this week
- NCU-driven iterative optimization workflow for CUDA/CUTLASS/Triton/CuTe DSL kernels.☆25Apr 10, 2026Updated 7 months ago
- ☆49Apr 15, 2024Updated 2 years ago
- ☆204Aug 9, 2026Updated 3 months ago
- [NeurIPS 2025] Official PyTorch implementation for the paper AutoJudge: Judge Decoding Without Manual Annotation☆21Dec 22, 2025Updated 10 months ago
Are these results useful?