LaurieWired / BenchmarkCustomPTXLinks
Custom PTX Instruction Benchmark
☆138Updated 11 months ago
Alternatives and similar repositories for BenchmarkCustomPTX
Users that are interested in BenchmarkCustomPTX are comparing it to the libraries listed below
Sorting:
- High-Performance FP32 GEMM on CUDA devices☆117Updated last year
- Learning about CUDA by writing PTX code.☆152Updated last year
- ☆95Updated this week
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆201Updated this week
- Attention in SRAM on Tenstorrent Grayskull☆40Updated last year
- Super fast FP32 matrix multiplication on RDNA3☆82Updated 10 months ago
- Quantized LLM training in pure CUDA/C++.☆238Updated 3 weeks ago
- Fast and Furious AMD Kernels☆350Updated 2 weeks ago
- Nvidia Instruction Set Specification Generator☆311Updated last year
- General Matrix Multiplication using NVIDIA Tensor Cores☆28Updated last year
- LLM training in simple, raw C/CUDA☆112Updated last year
- Step by step implementation of a fast softmax kernel in CUDA☆60Updated last year
- Hand-Rolled GPU communications library☆82Updated 2 months ago
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆103Updated 4 months ago
- We aim to redefine Data Parallel libraries portabiliy, performance, programability and maintainability, by using C++ standard features, i…☆47Updated this week
- ☆54Updated 9 months ago
- CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning☆417Updated last month
- Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.☆441Updated last week
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆49Updated 5 months ago
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Updated 10 months ago
- ctypes wrappers for HIP, CUDA, and OpenCL☆130Updated last year
- An experimental CPU backend for Triton☆174Updated 3 months ago
- AMD-SHARK Inference Modeling and Serving☆62Updated this week
- ☆104Updated last year
- Unofficial description of the CUDA assembly (SASS) instruction sets.☆200Updated 6 months ago
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆168Updated this week
- Ship correct and fast LLM kernels to PyTorch☆140Updated 3 weeks ago
- Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…☆96Updated last month
- GPUOcelot: A dynamic compilation framework for PTX☆219Updated last year
- TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels☆194Updated this week