NVIDIA / compute-evalLinks
Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Large Language Models.
☆66Updated last week
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☆296Updated last month
- ☆242Updated last week
- extensible collectives library in triton☆88Updated 6 months ago
- Cataloging released Triton kernels.☆261Updated last month
- Collection of kernels written in Triton language☆157Updated 6 months ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆97Updated last week
- TritonParse: A Compiler Tracer, Visualizer, and mini-Reproducer for Triton Kernels☆152Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆252Updated this week
- ☆90Updated 11 months ago
- Fast low-bit matmul kernels in Triton☆376Updated last week
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆230Updated 5 months ago
- Write a fast kernel and run it on Discord. See how you compare against the best!☆58Updated last week
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆82Updated this week
- NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process com…☆328Updated 3 weeks ago
- How to ensure correctness and ship LLM generated kernels in PyTorch☆66Updated last week
- High-Performance SGEMM on CUDA devices☆105Updated 8 months ago
- An experimental CPU backend for Triton☆154Updated 4 months ago
- Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.☆373Updated this week
- ☆42Updated 3 weeks ago
- Fastest kernels written from scratch☆366Updated 3 weeks ago
- Efficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X☆70Updated 2 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆328Updated this week
- ☆119Updated 6 months ago
- ring-attention experiments☆152Updated 11 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆111Updated last week
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆57Updated 2 weeks ago
- A Quirky Assortment of CuTe Kernels☆603Updated last week
- ☆238Updated last year
- Perplexity GPU Kernels☆482Updated 2 weeks ago
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆356Updated this week