PyTorchSim: A Comprehensive, Fast, and Accurate NPU Simulation Framework
This is the Docker image for the artifact of "PyTorchSim: A Comprehensive, Fast, and Accurate NPU Simulation Framework", published in MICRO'25. You can get the latest code and docker image from our Github. Note: Instead of using Zenodo’s Download all, downloading split files individually in parallel was significantly faster in our experience. After downloading all parts, the image can be loaded into Docker using the following command: $ cat torchsim_image.part_* | docker load $ docker run -it --ipc=host -w /workspace/PyTorchSim ghcr.io/psal-postech/torchsim-ci:v1.0.0 bash
Institutions
- Pohang University of Science and Technology (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Samsung (South Korea) (KR)
- Kootenay Association for Science & Technology (CA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-25
- DOI
- https://doi.org/10.5281/zenodo.16419768
- Primary Topic
- Peptidase Inhibition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00