NVIDIA / compute-eval
Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Large Language Models.
☆38Updated 2 weeks ago
Alternatives and similar repositories for compute-eval
Users that are interested in compute-eval are comparing it to the libraries listed below
Sorting:
- Applied AI experiments and examples for PyTorch☆265Updated 2 weeks ago
- Perplexity GPU Kernels☆281Updated last week
- extensible collectives library in triton☆86Updated last month
- LLM training in simple, raw C/CUDA☆94Updated last year
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆310Updated 2 weeks ago
- High-Performance SGEMM on CUDA devices☆91Updated 3 months ago
- ☆204Updated 2 weeks ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆132Updated this week
- AI Tensor Engine for ROCm☆190Updated this week
- ring-attention experiments☆140Updated 6 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆171Updated last week
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆324Updated this week
- Write a fast kernel and run it on Discord. See how you compare against the best!☆44Updated last week
- Fastest kernels written from scratch☆261Updated last month
- Fast low-bit matmul kernels in Triton☆299Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆124Updated this week
- Ahead of Time (AOT) Triton Math Library☆63Updated this week
- ☆79Updated 6 months ago
- Cataloging released Triton kernels.☆220Updated 4 months ago
- Samples demonstrating how to use the Compute Sanitizer Tools and Public API☆81Updated last year
- An experimental CPU backend for Triton☆111Updated 2 weeks ago
- Collection of kernels written in Triton language☆122Updated last month
- ☆202Updated 10 months ago
- ☆102Updated last month
- ☆68Updated last month
- ☆209Updated 3 months ago
- ☆14Updated last month
- Reference Kernels for the Leaderboard☆43Updated this week
- NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …☆156Updated this week
- ☆32Updated this week