Learning about CUDA by writing PTX code.
☆158Feb 27, 2024Updated 2 years ago
Alternatives and similar repositories for learn-ptx
Users that are interested in learn-ptx are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A high-performance attention mechanism that computes softmax normalization in a single streaming pass using running accumulators (online …☆29Oct 11, 2025Updated 6 months ago
- Benchmark tests supporting the TiledCUDA library.☆18Nov 19, 2024Updated last year
- Persistent dense gemm for Hopper in `CuTeDSL`☆15Aug 9, 2025Updated 8 months ago
- Row-wise block scaling for fp8 quantization matrix multiplication. Solution to GPU mode AMD challenge.☆19Feb 9, 2026Updated 2 months ago
- Experimental GPU language with meta-programming☆27Sep 6, 2024Updated last year
- 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.
- ☆23Apr 7, 2026Updated last week
- CUTLASS and CuTe Examples☆134Nov 30, 2025Updated 4 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆254May 6, 2025Updated 11 months ago
- High-Performance FP32 GEMM on CUDA devices☆119Jan 21, 2025Updated last year
- Deployment examples for FastHTML☆43Sep 11, 2024Updated last year
- A repository to unravel the language of GPUs, making their kernel conversations easy to understand☆201Jun 1, 2025Updated 10 months ago
- Fast low-bit matmul kernels in Triton☆443Apr 4, 2026Updated 2 weeks ago
- ☆18Updated this week
- Faster Pytorch bitsandbytes 4bit fp4 nn.Linear ops☆30Mar 16, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Write a fast kernel and see how you compare against the best humans and AI on gpumode.com☆91Updated this week
- Code snippets and reproductions from JustAByte☆41Apr 6, 2026Updated last week
- NanoGPT (124M) quality in 2.67B tokens☆28Sep 17, 2025Updated 7 months ago
- Tile primitives for speedy kernels☆3,312Apr 8, 2026Updated last week
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆541Sep 8, 2024Updated last year
- extensible collectives library in triton☆98Mar 31, 2025Updated last year
- Parallel Associative Scan for Language Models☆18Jan 8, 2024Updated 2 years ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆343Apr 11, 2026Updated last week
- High Performance FP8 GEMM Kernels for SM89 and later GPUs.☆21Jan 24, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- UNet diffusion model in pure CUDA☆657Jun 28, 2024Updated last year
- ☆23Aug 14, 2024Updated last year
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,118Dec 30, 2024Updated last year
- GPU programming related news and material links☆2,093Mar 8, 2026Updated last month
- An experimental communicating attention kernel based on DeepEP.☆35Jul 29, 2025Updated 8 months ago
- Hacks for PyTorch☆19Apr 18, 2023Updated 3 years ago
- Jax like function transformation engine but micro, microjax☆34Oct 25, 2024Updated last year
- TensorRT encapsulation, learn, rewrite, practice.☆29Oct 19, 2022Updated 3 years ago
- 使用 cutlass 实现 flash-attention 精简版，具有教学意义☆59Aug 12, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆81Dec 27, 2024Updated last year
- incubator repo for CUDA-TileIR backend☆127Mar 18, 2026Updated last month
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆600Aug 12, 2025Updated 8 months ago
- TensaLang is a Tensor-first programming language, compiler, and runtime that let you write the Model’s inference engine (e.g. LLMs) and s…☆74Feb 20, 2026Updated last month
- Ultra low overhead NVIDIA GPU telemetry plugin for telegraf with memory temperature readings.☆63Jul 8, 2024Updated last year
- Utilities for Training Very Large Models☆59Sep 25, 2024Updated last year
- Fast CUDA matrix multiplication from scratch☆1,127Sep 2, 2025Updated 7 months ago