msaroufim / awesome-profilingLinks
Awesome utilities for performance profiling
☆186Updated 5 months ago
Alternatives and similar repositories for awesome-profiling
Users that are interested in awesome-profiling are comparing it to the libraries listed below
Sorting:
- Dynolog is a telemetry daemon for performance monitoring and tracing. It exports metrics from different components in the system like the…☆330Updated last week
- Lightweight daemon for monitoring CUDA runtime API calls with eBPF uprobes☆125Updated 5 months ago
- Home for OctoML PyTorch Profiler☆113Updated 2 years ago
- Awesome resources for GPUs☆584Updated 2 years ago
- Parallel Computing starter project to build GPU & CPU kernels in CUDA & C++ and call them from Python without a single line of CMake usin…☆28Updated 5 months ago
- High-performance safetensors model loader☆53Updated last month
- A library to analyze PyTorch traces.☆404Updated last week
- CUDA checkpoint and restore utility☆365Updated 7 months ago
- MLIR-based partitioning system☆123Updated last week
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆349Updated this week
- A stand-alone implementation of several NumPy dtype extensions used in machine learning.☆291Updated 2 weeks ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆159Updated 2 months ago
- An experimental CPU backend for Triton (https//github.com/openai/triton)☆44Updated last week
- Machine Learning Framework for Operating Systems - Brings ML to Linux kernel☆249Updated 3 years ago
- GPUOcelot: A dynamic compilation framework for PTX☆207Updated 6 months ago
- MLPerf™ logging library☆36Updated last week
- AI/GPU flame graph☆182Updated last month
- High-Performance SGEMM on CUDA devices☆97Updated 7 months ago
- This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic …☆97Updated this week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆271Updated this week
- PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for…☆149Updated this week
- TritonParse: A Compiler Tracer, Visualizer, and mini-Reproducer(WIP) for Triton Kernels☆144Updated this week
- 🏙 Interactive performance profiling and debugging tool for PyTorch neural networks.☆64Updated 7 months ago
- TORCH_LOGS parser for PT2☆57Updated this week
- Memory Optimizations for Deep Learning (ICML 2023)☆102Updated last year
- torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…☆180Updated last month
- LLM training in simple, raw C/CUDA☆104Updated last year
- An IR for efficiently simulating distributed ML computation.☆29Updated last year
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆136Updated last year
- PyTorch RFCs (experimental)☆134Updated 3 months ago