Step-by-step GEMM optimization, one hardware feature at a time. High performance CuTeDSL kernels for H100, B200 and RTX 50s GPUs. This repo also includes my CuTeDSL solution to MLSys26 kernel competition, which got #2 place in Deepseek Sparse Attention track.
☆23May 14, 2026Updated 5 months ago
Alternatives and similar repositories for learn-cutedsl
Users that are interested in learn-cutedsl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Mar 29, 2026Updated 7 months ago
- A Chinese-focused PyTorch framework for exploring Attention Residuals in Qwen3-style causal LMs, with baseline, Block AttnRes, Full AttnR…☆21May 3, 2026Updated 6 months ago
- ☆11May 21, 2026Updated 5 months ago
- native blackwell training backward for gated linear recurrences, and a verifier that catches broken llm-generated gpu kernels☆16Nov 3, 2026Updated last week
- A fault-tolerant RDMA-based disaggregated key-value store with 1-RTT UPDATEs and GETs thanks to the SWARM replication protocol☆14Sep 25, 2024Updated 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.
- Code Implementation for OSCAR 2026 Workshop: Toward Sustainable GPU Modeling: Autonomous Micro-benchmarking with LLM Agents☆16Jun 28, 2026Updated 4 months ago
- Batched square compact-Householder QR factorization.☆15Jul 2, 2026Updated 4 months ago
- ☆20Aug 27, 2026Updated 2 months ago
- Public repo for kernel writing skills in CuTeDSL, Triton, Tilelang and CUDA☆25Jul 7, 2026Updated 4 months ago
- ☆18Mar 29, 2026Updated 7 months ago
- 长江雨课堂刷课脚本☆10May 16, 2024Updated 2 years ago
- ☆22Updated this week
- CuTeDSL tutorials, tools, autotuner, profiler, etc.☆47Jun 27, 2026Updated 4 months ago
- ☆20Aug 7, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Cute layout visualization☆45Jan 18, 2026Updated 9 months ago
- Unified adversarial verifier hardening loop☆17Jul 3, 2026Updated 4 months ago
- Code and reproducibility artifacts for reconstructing megakernel persistence with CUDA PDL☆27Aug 5, 2026Updated 3 months ago
- High performance RMSNorm Implement by using SM Core Storage(Registers and Shared Memory)☆31Jan 22, 2026Updated 9 months ago
- My submission for the GPUMODE/AMD fp8 mm challenge☆29Jun 4, 2025Updated last year
- Artifacts for SWARM: Replicating Shared Disaggregated-Memory Data in No Time☆10Sep 25, 2024Updated 2 years ago
- ☆11Sep 16, 2026Updated last month
- NCU-driven iterative optimization workflow for CUDA/CUTLASS/Triton/CuTe DSL kernels.☆25Apr 10, 2026Updated 7 months ago
- 100% MFU or bust.☆11Jan 12, 2026Updated 9 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆27Feb 27, 2026Updated 8 months ago
- ☆15Updated this week
- Expert Specialization MoE Solution based on CUTLASS☆27Apr 14, 2026Updated 6 months ago
- Agentic Kernel Optimization — advanced & eXtensible: a closed-loop, campaign-based multi-agent system for optimizing GPU kernels (benchma…☆87Sep 15, 2026Updated last month
- An efficient service for transparent GPU multiplexing with VRAM oversubscription, OSDI '26☆14Sep 24, 2026Updated last month
- Code for MatGPTQ: Efficient and Accurate Inference over Nested Quantized Models☆35Oct 6, 2026Updated last month
- Public repository for HPPS☆14Jan 26, 2025Updated last year
- [ASPLOS'24] FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture☆12Nov 4, 2024Updated 2 years ago
- This page contains supplementary material for our paper entitled "COMPLEXITY ANALYSIS OF NEXT-GENERATION VVC ENCODING AND DECODING"☆18May 22, 2020Updated 6 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.
- Exploring how optimizations for GEMMs work☆36Feb 28, 2026Updated 8 months ago
- ☆129May 31, 2025Updated last year
- Proving crash safety for systems with layered recovery☆16Updated this week
- Verus-verified implementation of Ironfleet Sharded Hash Table key-value store☆12Sep 22, 2026Updated last month
- ☆103Mar 31, 2026Updated 7 months ago
- ☆14Dec 22, 2024Updated last year
- ☆51Aug 17, 2026Updated 2 months ago
Are these results useful?