https://github.com/Lin-Mao/DrGPUM

A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.
https://github.com/Lin-Mao/DrGPUM

cuda-programming gpu-memory gpu-memory-profiler gpu-profiler memory-management

Last synced: about 1 month ago
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A memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.

• Host: GitHub
• URL: https://github.com/Lin-Mao/DrGPUM
• Owner: Lin-Mao
• License: bsd-3-clause
• Created: 2022-09-23T21:49:06.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-23T21:03:30.000Z (4 months ago)
• Last Synced: 2024-07-18T20:41:54.773Z (2 months ago)
• Topics: cuda-programming, gpu-memory, gpu-memory-profiler, gpu-profiler, memory-management
• Language: Python
• Homepage:
• Size: 245 KB
• Stars: 20
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.bib
  • Roadmap: docs/roadmap.md

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README

        
# DrGPUM

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7588406.svg)](https://doi.org/10.5281/zenodo.7588406)

[![CodeFactor](https://www.codefactor.io/repository/github/lin-mao/drgpum/badge)](https://www.codefactor.io/repository/github/lin-mao/drgpum)

[![Documentation Status](https://readthedocs.org/projects/drgpum/badge/?version=latest)](https://drgpum.readthedocs.io/en/latest/?badge=latest)

DrGPUM is a memory profiler for NVIDIA GPUs to explore memory inefficiencies in GPU-accelerated applications.

## Quick Start

```bash

git clone --recursive https://github.com/Lin-Mao/DrGPUM.git && cd DrGPUM

git submodule update --init --recursive

# Specify PyTorch dir

export PYTORCH_DIR=path_to_pytorch/torch

# Install DrGPUM

./bin/install

# Setup environment variables

export DrGPUM_PATH=$(pwd)/gvprof

export PATH=${DrGPUM_PATH}/bin:$PATH

export PATH=${DrGPUM_PATH}/hpctoolkit/bin:$PATH

export PATH=${DrGPUM_PATH}/redshow/bin:$PATH

# Test a sample

cd samples/vectorAdd.f32

make

gvprof -v -e memory_liveness ./vectorAdd

```

## Documentation

- [Installation Guide](https://drgpum.readthedocs.io/en/latest/install.html)

- [User's Guide](https://drgpum.readthedocs.io/en/latest/manual.html)

- [Developer's Guide](https://drgpum.readthedocs.io/en/latest/workflow.html)

## Papers

- Mao Lin, Keren Zhou, and Pengfei Su. 2023. [DrGPUM: Guiding Memory Optimization for GPU-accelerated Applications](https://doi.org/10.1145/3582016.3582044). In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 (ASPLOS ’23), March 25–29, 2023, Vancouver, BC, Canada. ACM, New York, NY, USA, 15 pages.