ai-agent

Optimize with how-to-optim-algorithm-in-cuda

Get optimized CUDA algorithms for founders. 3.1k+ GitHub stars

From the repo · “how to optimize some algorithm in cuda.”

3,333 stars+17★ this week297 forksCudaGuide quality 8/10 · reviewed Jul 2Updated 10/11/2026100% free · open source
What it does

Optimizes algorithms for CUDA to achieve faster execution on NVIDIA GPUs

When to use it
  • •When developing AI applications that require massive parallel processing
  • •When existing algorithms are too slow for your startup's workload
  • •When you need to accelerate machine learning model training or inference
Ready-to-paste prompt
nvcc -o optimized_algorithm optimized_algorithm.cu -arch=sm_80
Heads up: Ensure you have an NVIDIA GPU with CUDA support and the correct version of the CUDA toolkit installed, as specified in the repository's `README.md`
Saves to your device
Use with Claude
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⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/how-to-optim-algorithm-in-cuda && curl -fsSL https://workflowstacks.com/api/skills/how-to-optim-algorithm-in-cuda/claude-skill -o ~/.claude/skills/how-to-optim-algorithm-in-cuda/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How Optimize with how-to-optim-algorithm-in-cuda works
Codeflow
Free to inspect

Optimize with how-to-optim-algorithm-in-cuda is mostly documents (310 doc files, 109 small scripts) — something you read, not something you run. There is nothing to install. Last commit this month, no license file.

Size
Mostly documents
310 documents · 109 small scripts · days to read — use, don't read
Setup
Nothing to install
A guide / curated list. Just read it and follow the links.
Runs on
Nowhere — you read it
A reading resource, not a program.
Cuda 58%Python 28%C++ 13%Shell 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
cutlass/Folder184 files
large-language-model/Folder162 files
cuda-mode/Folder111 files
pytorch/Folder65 files
cuda-kernels/Folder42 files
deprecated/Archived / older material20 files
ml-engineering/Folder11 files
triton/Folder11 files
READMEDocumentedNo licenseUpdated this month
Quick Actions
Details
Creator
BBuf
Language
Cuda
Category
ai-agent
Published
7/18/2018

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