daniel-geon-park / triton_bwdLinks
Automatic differentiation for Triton Kernels
☆29Updated 4 months ago
Alternatives and similar repositories for triton_bwd
Users that are interested in triton_bwd are comparing it to the libraries listed below
Sorting:
- ☆39Updated this week
- extensible collectives library in triton☆91Updated 8 months ago
- A bunch of kernels that might make stuff slower 😉☆65Updated 2 weeks ago
- ☆97Updated last year
- ☆14Updated last month
- Framework to reduce autotune overhead to zero for well known deployments.☆90Updated 3 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆301Updated this week
- Collection of kernels written in Triton language☆172Updated 8 months ago
- Ship correct and fast LLM kernels to PyTorch☆126Updated this week
- ring-attention experiments☆160Updated last year
- ☆263Updated this week
- Nsight Python is a Python kernel profiling interface based on NVIDIA Nsight Tools☆71Updated this week
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆105Updated 5 months ago
- Autonomous GPU Kernel Generation via Deep Agents☆187Updated this week
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆147Updated last month
- ☆14Updated 9 months ago
- DeeperGEMM: crazy optimized version☆73Updated 7 months ago
- TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels☆178Updated last week
- Triton-based Symmetric Memory operators and examples☆67Updated 2 months ago
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆83Updated 2 months ago
- ☆52Updated 7 months ago
- Cataloging released Triton kernels.☆277Updated 3 months ago
- JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training☆60Updated last month
- Building the Virtuous Cycle for AI-driven LLM Systems☆98Updated this week
- Write a fast kernel and run it on Discord. See how you compare against the best!☆64Updated this week
- ☆115Updated last year
- Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…☆84Updated 3 weeks ago
- Learn CUDA with PyTorch☆124Updated 3 weeks ago
- TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators☆99Updated 6 months ago
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆133Updated this week